--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/imagej2_adjust_threshold_binary.py	Fri Jul 22 23:17:48 2016 -0400
@@ -0,0 +1,63 @@
+#!/usr/bin/env python
+import argparse
+import os
+import shutil
+import subprocess
+import tempfile
+import imagej2_base_utils
+
+parser = argparse.ArgumentParser()
+parser.add_argument( '--input', dest='input', help='Path to the input file' )
+parser.add_argument( '--input_datatype', dest='input_datatype', help='Datatype of the input image' )
+parser.add_argument( '--threshold_min', dest='threshold_min', type=float, help='Minimum threshold value' )
+parser.add_argument( '--threshold_max', dest='threshold_max', type=float, help='Maximum threshold value' )
+parser.add_argument( '--method', dest='method', help='Threshold method' )
+parser.add_argument( '--display', dest='display', help='Display mode' )
+parser.add_argument( '--black_background', dest='black_background', help='Black background' )
+parser.add_argument( '--stack_histogram', dest='stack_histogram', help='Stack histogram' )
+parser.add_argument( '--jython_script', dest='jython_script', help='Path to the Jython script' )
+parser.add_argument( '--output', dest='output', help='Path to the output file' )
+parser.add_argument( '--output_datatype', dest='output_datatype', help='Datatype of the output image' )
+args = parser.parse_args()
+
+tmp_dir = imagej2_base_utils.get_temp_dir()
+# ImageJ expects valid image file extensions, so the Galaxy .dat extension does not
+# work for some features.  The following creates a symlink with an appropriate file
+# extension that points to the Galaxy dataset.  This symlink is used by ImageJ.
+tmp_input_path = imagej2_base_utils.get_input_image_path( tmp_dir, args.input, args.input_datatype )
+tmp_output_path = imagej2_base_utils.get_temporary_image_path( tmp_dir, args.output_datatype )
+# Define command response buffers.
+tmp_out = tempfile.NamedTemporaryFile().name
+tmp_stdout = open( tmp_out, 'wb' )
+tmp_err = tempfile.NamedTemporaryFile().name
+tmp_stderr = open( tmp_err, 'wb' )
+# Java writes a lot of stuff to stderr, so we'll specify a file for handling actual errors.
+error_log = tempfile.NamedTemporaryFile( delete=False ).name
+# Build the command line.
+cmd = imagej2_base_utils.get_base_command_imagej2( None, jython_script=args.jython_script )
+if cmd is None:
+    imagej2_base_utils.stop_err( "ImageJ not found!" )
+cmd += ' %s' % error_log
+cmd += ' %s' % tmp_input_path
+cmd += ' %.3f' % args.threshold_min
+cmd += ' %.3f' % args.threshold_max
+cmd += ' %s' % args.method
+cmd += ' %s' % args.display
+cmd += ' %s' % args.black_background
+cmd += ' %s' % args.stack_histogram
+cmd += ' %s' % tmp_output_path
+cmd += ' %s' % args.output_datatype
+# Run the command.
+proc = subprocess.Popen( args=cmd, stderr=tmp_stderr, stdout=tmp_stdout, shell=True )
+rc = proc.wait()
+# Handle execution errors.
+if rc != 0:
+    error_message = imagej2_base_utils.get_stderr_exception( tmp_err, tmp_stderr, tmp_out, tmp_stdout )
+    imagej2_base_utils.stop_err( error_message )
+# Handle processing errors.
+if os.path.getsize( error_log ) > 0:
+    error_message = open( error_log, 'r' ).read()
+    imagej2_base_utils.stop_err( error_message )
+# Save the output image.
+shutil.move( tmp_output_path, args.output )
+imagej2_base_utils.cleanup_before_exit( tmp_dir )

--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/imagej2_adjust_threshold_binary_jython_script.py	Fri Jul 22 23:17:48 2016 -0400
@@ -0,0 +1,49 @@
+import jython_utils
+import sys
+from ij import IJ
+
+# Fiji Jython interpreter implements Python 2.5 which does not
+# provide support for argparse.
+error_log = sys.argv[ -10 ]
+input = sys.argv[ -9 ]
+threshold_min = float( sys.argv[ -8 ] )
+threshold_max = float( sys.argv[ -7 ] )
+method = sys.argv[ -6 ]
+display = sys.argv[ -5 ]
+black_background = jython_utils.asbool( sys.argv[ -4 ] )
+# TODO: this is not being used.
+stack_histogram = jython_utils.asbool( sys.argv[ -3 ] )
+tmp_output_path = sys.argv[ -2 ]
+output_datatype = sys.argv[ -1 ]
+
+# Open the input image file.
+input_image_plus = IJ.openImage( input )
+
+# Create a copy of the image.
+input_image_plus_copy = input_image_plus.duplicate()
+image_processor_copy = input_image_plus_copy.getProcessor()
+
+try:
+    # Convert image to binary if necessary.
+    if not image_processor_copy.isBinary():
+        # Convert the image to binary grayscale.
+        IJ.run( input_image_plus_copy, "Make Binary","iterations=1 count=1 edm=Overwrite do=Nothing" )
+    # Set the options.
+    if black_background:
+        method_str = "%s dark" % method
+    else:
+        method_str = method
+    IJ.setAutoThreshold( input_image_plus_copy, method_str )
+    if display == "red":
+        display_mode = "Red"
+    elif display == "bw":
+        display_mode = "Black & White"
+    elif display == "over_under":
+        display_mode = "Over/Under"
+    IJ.setThreshold( input_image_plus_copy, threshold_min, threshold_max, display_mode )
+    # Run the command.
+    IJ.run( input_image_plus_copy, "threshold", "" )
+    # Save the ImagePlus object as a new image.
+    IJ.saveAs( input_image_plus_copy, output_datatype, tmp_output_path )
+except Exception, e:
+    jython_utils.handle_error( error_log, str( e ) )

--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/imagej2_analyze_particles_binary.py	Fri Jul 22 23:17:48 2016 -0400
@@ -0,0 +1,81 @@
+#!/usr/bin/env python
+import argparse
+import os
+import shutil
+import subprocess
+import tempfile
+import imagej2_base_utils
+
+parser = argparse.ArgumentParser()
+parser.add_argument( '--input', dest='input', help='Path to the input file' )
+parser.add_argument( '--input_datatype', dest='input_datatype', help='Datatype of the input image' )
+parser.add_argument( '--black_background', dest='black_background', help='Black background' )
+parser.add_argument( '--size', dest='size', help='Size (pixel^2)' )
+parser.add_argument( '--circularity_min', dest='circularity_min', type=float, help='Circularity minimum' )
+parser.add_argument( '--circularity_max', dest='circularity_max', type=float, help='Circularity maximum' )
+parser.add_argument( '--show', dest='show', help='Show' )
+parser.add_argument( '--display_results', dest='display_results', help='Display results' )
+parser.add_argument( '--all_results', dest='all_results', help='All results' )
+parser.add_argument( '--exclude_edges', dest='exclude_edges', help='Exclude edges' )
+parser.add_argument( '--include_holes', dest='include_holes', help='Include holes' )
+parser.add_argument( '--jython_script', dest='jython_script', help='Path to the Jython script' )
+parser.add_argument( '--results', dest='results', default=None, help='Path to the output results file' )
+parser.add_argument( '--output', dest='output', default=None, help='Path to the output image file' )
+parser.add_argument( '--output_datatype', dest='output_datatype', default='data',  help='Datatype of the output image' )
+args = parser.parse_args()
+
+tmp_dir = imagej2_base_utils.get_temp_dir()
+# ImageJ expects valid image file extensions, so the Galaxy .dat extension does not
+# work for some features.  The following creates a symlink with an appropriate file
+# extension that points to the Galaxy dataset.  This symlink is used by ImageJ.
+tmp_input_path = imagej2_base_utils.get_input_image_path( tmp_dir, args.input, args.input_datatype )
+if args.output is None:
+    tmp_output_path = None
+else:
+    tmp_output_path = imagej2_base_utils.get_temporary_image_path( tmp_dir, args.output_datatype )
+
+# Define command response buffers.
+tmp_out = tempfile.NamedTemporaryFile().name
+tmp_stdout = open( tmp_out, 'wb' )
+tmp_err = tempfile.NamedTemporaryFile().name
+tmp_stderr = open( tmp_err, 'wb' )
+# Java writes a lot of stuff to stderr, so we'll specify a file for handling actual errors.
+error_log = tempfile.NamedTemporaryFile( delete=False ).name
+
+# Build the command line.
+cmd = imagej2_base_utils.get_base_command_imagej2( None, jython_script=args.jython_script )
+if cmd is None:
+    imagej2_base_utils.stop_err( "ImageJ not found!" )
+cmd += ' %s' % error_log
+cmd += ' %s' % tmp_input_path
+cmd += ' %s' % args.black_background
+cmd += ' %s' % args.size
+cmd += ' %.3f' % args.circularity_min
+cmd += ' %.3f' % args.circularity_max
+cmd += ' %s' % args.show
+cmd += ' %s' % args.display_results
+cmd += '%s' % imagej2_base_utils.handle_none_type( args.all_results, val_type='str' )
+cmd += ' %s' % args.exclude_edges
+cmd += ' %s' % args.include_holes
+cmd += '%s' % imagej2_base_utils.handle_none_type( tmp_output_path, val_type='str' )
+cmd += ' %s' % args.output_datatype
+cmd += '%s' % imagej2_base_utils.handle_none_type( args.results, val_type='str' )
+
+# Run the command.
+proc = subprocess.Popen( args=cmd, stderr=tmp_stderr, stdout=tmp_stdout, shell=True )
+rc = proc.wait()
+
+# Handle execution errors.
+if rc != 0:
+    error_message = imagej2_base_utils.get_stderr_exception( tmp_err, tmp_stderr, tmp_out, tmp_stdout )
+    imagej2_base_utils.stop_err( error_message )
+
+# Handle processing errors.
+if os.path.getsize( error_log ) > 0:
+    error_message = open( error_log, 'r' ).read()
+    imagej2_base_utils.stop_err( error_message )
+
+if tmp_output_path is not None:
+    # Save the output image.
+    shutil.move( tmp_output_path, args.output )
+imagej2_base_utils.cleanup_before_exit( tmp_dir )

--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/imagej2_analyze_particles_binary_jython_script.py	Fri Jul 22 23:17:48 2016 -0400
@@ -0,0 +1,72 @@
+import jython_utils
+import sys
+from ij import IJ
+from ij.plugin.filter import Analyzer
+
+# Fiji Jython interpreter implements Python 2.5 which does not
+# provide support for argparse.
+error_log = sys.argv[ -14 ]
+input = sys.argv[ -13 ]
+black_background = jython_utils.asbool( sys.argv[ -12 ] )
+size = sys.argv[ -11 ]
+circularity_min = float( sys.argv[ -10 ] )
+circularity_max = float( sys.argv[ -9 ] )
+show = sys.argv[ -8 ]
+display_results = jython_utils.asbool( sys.argv[ -7 ] )
+all_results = jython_utils.asbool( sys.argv[ -6 ] )
+exclude_edges = jython_utils.asbool( sys.argv[ -5 ] )
+include_holes = jython_utils.asbool( sys.argv[ -4 ] )
+tmp_output_path = sys.argv[ -3 ]
+output_datatype = sys.argv[ -2 ]
+results_path = sys.argv[ -1 ]
+
+# Open the input image file.
+input_image_plus = IJ.openImage( input )
+
+# Create a copy of the image.
+input_image_plus_copy = input_image_plus.duplicate()
+image_processor_copy = input_image_plus_copy.getProcessor()
+analyzer = Analyzer( input_image_plus_copy )
+
+try:
+    # Set binary options.
+    options = jython_utils.get_binary_options( black_background=black_background )
+    IJ.run( input_image_plus_copy, "Options...", options )
+
+    # Convert image to binary if necessary.
+    if not image_processor_copy.isBinary():
+        # Convert the image to binary grayscale.
+        IJ.run( input_image_plus_copy, "Make Binary", "" )
+
+    # Set the options.
+    options = [ 'size=%s' % size ]
+    circularity_str = '%.3f-%.3f' % ( circularity_min, circularity_max )
+    options.append( 'circularity=%s' % circularity_str )
+    if show.find( '_' ) >= 0:
+        show_str = '[%s]' % show.replace( '_', ' ' )
+    else:
+        show_str = show
+    options.append( 'show=%s' % show_str )
+    if display_results:
+        options.append( 'display' )
+        if not all_results:
+            options.append( 'summarize' )
+    if exclude_edges:
+        options.append( 'exclude' )
+    if include_holes:
+        options.append( 'include' )
+    # Always run "in_situ".
+    options.append( 'in_situ' )
+
+    # Run the command.
+    IJ.run( input_image_plus_copy, "Analyze Particles...", " ".join( options ) )
+
+    # Save outputs.
+    if tmp_output_path not in [ None, 'None' ]:
+        # Save the ImagePlus object as a new image.
+        IJ.saveAs( input_image_plus_copy, output_datatype, tmp_output_path )
+    if display_results and results_path not in [ None, 'None' ]:
+        results_table = analyzer.getResultsTable()
+        results_table.saveAs( results_path )
+except Exception, e:
+    jython_utils.handle_error( error_log, str( e ) )

--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/imagej2_analyze_skeleton.py	Fri Jul 22 23:17:48 2016 -0400
@@ -0,0 +1,61 @@
+#!/usr/bin/env python
+import argparse
+import os
+import shutil
+import subprocess
+import tempfile
+import imagej2_base_utils
+
+parser = argparse.ArgumentParser()
+parser.add_argument( '--input', dest='input', help='Path to the input file' )
+parser.add_argument( '--input_datatype', dest='input_datatype', help='Datatype of the input image' )
+parser.add_argument( '--black_background', dest='black_background', help='Black background' )
+parser.add_argument( '--prune_cycle_method', dest='prune_cycle_method', default='none', help='Prune cycle method' )
+parser.add_argument( '--prune_ends', dest='prune_ends', default='no', help='Prune ends' )
+parser.add_argument( '--calculate_largest_shortest_path', dest='calculate_largest_shortest_path', default='no', help='Calculate largest shortest path' )
+parser.add_argument( '--show_detailed_info', dest='show_detailed_info', default='no', help='Show detailed info' )
+parser.add_argument( '--jython_script', dest='jython_script', help='Path to the Jython script' )
+parser.add_argument( '--output', dest='output', help='Path to the output file' )
+args = parser.parse_args()
+
+tmp_dir = imagej2_base_utils.get_temp_dir()
+# ImageJ expects valid image file extensions, so the Galaxy .dat extension does not
+# work for some features.  The following creates a symlink with an appropriate file
+# extension that points to the Galaxy dataset.  This symlink is used by ImageJ.
+tmp_input_path = imagej2_base_utils.get_input_image_path( tmp_dir, args.input, args.input_datatype )
+
+# Define command response buffers.
+tmp_out = tempfile.NamedTemporaryFile().name
+tmp_stdout = open( tmp_out, 'wb' )
+tmp_err = tempfile.NamedTemporaryFile().name
+tmp_stderr = open( tmp_err, 'wb' )
+# Java writes a lot of stuff to stderr, so we'll specify a file for handling actual errors.
+error_log = tempfile.NamedTemporaryFile( delete=False ).name
+
+# Build the command line.
+cmd = imagej2_base_utils.get_base_command_imagej2( None, jython_script=args.jython_script )
+if cmd is None:
+    imagej2_base_utils.stop_err( "ImageJ not found!" )
+cmd += ' %s' % error_log
+cmd += ' %s' % tmp_input_path
+cmd += ' %s' % args.black_background
+cmd += ' %s' % args.prune_cycle_method
+cmd += ' %s' % args.prune_ends
+cmd += ' %s' % args.calculate_largest_shortest_path
+cmd += ' %s' % args.show_detailed_info
+cmd += ' %s' % args.output
+
+# Run the command.
+proc = subprocess.Popen( args=cmd, stderr=tmp_stderr, stdout=tmp_stdout, shell=True )
+rc = proc.wait()
+
+# Handle execution errors.
+if rc != 0:
+    error_message = imagej2_base_utils.get_stderr_exception( tmp_err, tmp_stderr, tmp_out, tmp_stdout )
+    imagej2_base_utils.stop_err( error_message )
+# Handle processing errors.
+if os.path.getsize( error_log ) > 0:
+    error_message = open( error_log, 'r' ).read()
+    imagej2_base_utils.stop_err( error_message )
+
+imagej2_base_utils.cleanup_before_exit( tmp_dir )

--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/imagej2_analyze_skeleton_jython_script.py	Fri Jul 22 23:17:48 2016 -0400
@@ -0,0 +1,147 @@
+import jython_utils
+import math
+import sys
+from ij import IJ
+from skeleton_analysis import AnalyzeSkeleton_
+
+BASIC_NAMES = [ 'Branches', 'Junctions', 'End-point Voxels',
+                'Junction Voxels', 'Slab Voxels', 'Average branch length',
+                'Triple Points', 'Quadruple Points', 'Maximum Branch Length' ]
+DETAIL_NAMES = [ 'Skeleton ID', 'Branch length', 'V1 x', 'V1 y', 'V1 z', 'V2 x',
+                 'V2 y', 'V2 z', 'Euclidean distance' ]
+
+def get_euclidean_distance( vertex1, vertex2 ):
+    x1, y1, z1 = get_points( vertex1 )
+    x2, y2, z2 = get_points( vertex2 )
+    return math.sqrt( math.pow( ( x2 - x1 ), 2 ) +
+                      math.pow( ( y2 - y1 ), 2 ) +
+                      math.pow( ( z2 - z1 ), 2 ) )
+
+def get_graph_length( graph ):
+    length = 0
+    for edge in graph.getEdges():
+        length = length + edge.getLength()
+    return length
+
+def get_points( vertex ):
+    # An array of Point, which has attributes x,y,z.
+    point = vertex.getPoints()[ 0 ]
+    return point.x, point.y, point.z
+    
+def get_sorted_edge_lengths( graph ):
+    # Return graph edges sorted from longest to shortest.
+    edges = graph.getEdges()
+    edges = sorted( edges, key=lambda edge: edge.getLength(), reverse=True )
+    return edges
+
+def get_sorted_graph_lengths( result ):
+    # Get the separate graphs (skeletons).
+    graphs = result.getGraph()
+    # Sort graphs from longest to shortest.
+    graphs = sorted( graphs, key=lambda g: get_graph_length( g ), reverse=True )
+    return graphs
+
+def save( result, output, show_detailed_info, calculate_largest_shortest_path, sep='\t' ):
+    num_trees = int( result.getNumOfTrees() )
+    outf = open( output, 'wb' )
+    outf.write( '# %s\n' % sep.join( BASIC_NAMES ) )
+    for index in range( num_trees ):
+        outf.write( '%d%s' % ( result.getBranches()[ index ], sep ) )
+        outf.write( '%d%s' % ( result.getJunctions()[ index ], sep ) )
+        outf.write( '%d%s' % ( result.getEndPoints()[ index ], sep ) )
+        outf.write( '%d%s' % ( result.getJunctionVoxels()[ index ], sep ) )
+        outf.write( '%d%s' % ( result.getSlabs()[ index ], sep ) )
+        outf.write( '%.3f%s' % ( result.getAverageBranchLength()[ index ], sep ) )
+        outf.write( '%d%s' % ( result.getTriples()[ index ], sep ) )
+        outf.write( '%d%s' % ( result.getQuadruples()[ index ], sep ) )
+        outf.write( '%.3f' % result.getMaximumBranchLength()[ index ] )
+        if calculate_largest_shortest_path:
+            outf.write( '%s%.3f%s' % ( sep, result.shortestPathList.get( index ), sep ) )
+            outf.write( '%d%s' % ( result.spStartPosition[ index ][ 0 ], sep ) )
+            outf.write( '%d%s' % ( result.spStartPosition[ index ][ 1 ], sep ) )
+            outf.write( '%d\n' % result.spStartPosition[ index ][ 2 ] )
+        else:
+            outf.write( '\n' )
+    if show_detailed_info:
+        outf.write( '# %s\n' % sep.join( DETAIL_NAMES ) )
+        # The following index is a placeholder for the skeleton ID.
+        # The terms "graph" and "skeleton" refer to the same thing.
+        # Also, the SkeletonResult.java code states that the
+        # private Graph[] graph object is an array of graphs (one
+        # per tree).
+        for index, graph in enumerate( get_sorted_graph_lengths( result ) ):
+            for edge in get_sorted_edge_lengths( graph ):
+                vertex1 = edge.getV1()
+                x1, y1, z1 = get_points( vertex1 )
+                vertex2 = edge.getV2()
+                x2, y2, z2 = get_points( vertex2 )
+                outf.write( '%d%s' % ( index+1, sep ) )
+                outf.write( '%.3f%s' % ( edge.getLength(), sep ) )
+                outf.write( '%d%s' % ( x1, sep ) )
+                outf.write( '%d%s' % ( y1, sep ) )
+                outf.write( '%d%s' % ( z1, sep ) )
+                outf.write( '%d%s' % ( x2, sep ) )
+                outf.write( '%d%s' % ( y2, sep ) )
+                outf.write( '%d%s' % ( z2, sep ) )
+                outf.write( '%.3f' % get_euclidean_distance( vertex1, vertex2 ) )
+                if calculate_largest_shortest_path:
+                    # Keep number of separated items the same for each line.
+                    outf.write( '%s %s' % ( sep, sep ) )
+                    outf.write( ' %s' % sep )
+                    outf.write( ' %s' % sep )
+                    outf.write( ' \n' )
+                else:
+                    outf.write( '\n' )
+    outf.close()
+
+# Fiji Jython interpreter implements Python 2.5 which does not
+# provide support for argparse.
+error_log = sys.argv[ -8 ]
+input = sys.argv[ -7 ]
+black_background = jython_utils.asbool( sys.argv[ -6 ] )
+prune_cycle_method = sys.argv[ -5 ]
+prune_ends = jython_utils.asbool( sys.argv[ -4 ] )
+calculate_largest_shortest_path = jython_utils.asbool( sys.argv[ -3 ] )
+if calculate_largest_shortest_path:
+    BASIC_NAMES.extend( [ 'Longest Shortest Path', 'spx', 'spy', 'spz' ] )
+    DETAIL_NAMES.extend( [ ' ', ' ', ' ', ' ' ] )
+show_detailed_info = jython_utils.asbool( sys.argv[ -2 ] )
+output = sys.argv[ -1 ]
+
+# Open the input image file.
+input_image_plus = IJ.openImage( input )
+
+# Create a copy of the image.
+input_image_plus_copy = input_image_plus.duplicate()
+image_processor_copy = input_image_plus_copy.getProcessor()
+
+try:
+    # Set binary options.
+    options = jython_utils.get_binary_options( black_background=black_background )
+    IJ.run( input_image_plus_copy, "Options...", options )
+
+    # Convert image to binary if necessary.
+    if not image_processor_copy.isBinary():
+        IJ.run( input_image_plus_copy, "Make Binary", "" )
+
+    # Run AnalyzeSkeleton
+    analyze_skeleton = AnalyzeSkeleton_()
+    analyze_skeleton.setup( "", input_image_plus_copy )
+    if prune_cycle_method == 'none':
+        prune_index  = analyze_skeleton.NONE
+    elif prune_cycle_method == 'shortest_branch':
+        prune_index  = analyze_skeleton.SHORTEST_BRANCH
+    elif prune_cycle_method == 'lowest_intensity_voxel':
+        prune_index  = analyze_skeleton.LOWEST_INTENSITY_VOXEL
+    elif prune_cycle_method == 'lowest_intensity_branch':
+        prune_index  = analyze_skeleton.LOWEST_INTENSITY_BRANCH
+    result = analyze_skeleton.run( prune_index,
+                                   prune_ends,
+                                   calculate_largest_shortest_path,
+                                   input_image_plus_copy,
+                                   True,
+                                   True )
+    # Save the results.
+    save( result, output, show_detailed_info, calculate_largest_shortest_path )
+except Exception, e:
+    jython_utils.handle_error( error_log, str( e ) )

--- a/imagej2_base_utils.py	Sun Oct 11 13:31:38 2015 -0400
+++ b/imagej2_base_utils.py	Fri Jul 22 23:17:48 2016 -0400
@@ -3,153 +3,161 @@
 import sys
 import tempfile
 
-FIJI_JAR_DIR = os.environ.get( 'FIJI_JAR_DIR', None )
-FIJI_OSX_JAVA3D_DIR = os.environ.get( 'FIJI_OSX_JAVA3D_DIR', None )
-FIJI_PLUGIN_DIR = os.environ.get( 'FIJI_PLUGIN_DIR', None )
-FIJI_ROOT_DIR = os.environ.get( 'FIJI_ROOT_DIR', None )
+FIJI_JAR_DIR = os.environ.get('FIJI_JAR_DIR', None)
+FIJI_OSX_JAVA3D_DIR = os.environ.get('FIJI_OSX_JAVA3D_DIR', None)
+FIJI_PLUGIN_DIR = os.environ.get('FIJI_PLUGIN_DIR', None)
+FIJI_ROOT_DIR = os.environ.get('FIJI_ROOT_DIR', None)
 
 BUFF_SIZE = 1048576
 
-def cleanup_before_exit( tmp_dir ):
+
+def cleanup_before_exit(tmp_dir):
     """
     Remove temporary files and directories prior to tool exit.
     """
-    if tmp_dir and os.path.exists( tmp_dir ):
-        shutil.rmtree( tmp_dir )
+    if tmp_dir and os.path.exists(tmp_dir):
+        shutil.rmtree(tmp_dir)
+
 
-def get_base_cmd_bunwarpj( jvm_memory ):
+def get_base_cmd_bunwarpj(jvm_memory):
     if FIJI_JAR_DIR is not None and FIJI_PLUGIN_DIR is not None:
-        if jvm_memory in [ None, 'None' ]:
+        if jvm_memory in [None, 'None']:
             jvm_memory_str = ''
         else:
             jvm_memory_str = '-Xmx%s' % jvm_memory
-        bunwarpj_base_cmd = "java %s -cp %s/ij-1.49k.jar:%s/bUnwarpJ_-2.6.1.jar bunwarpj.bUnwarpJ_" % \
-            ( jvm_memory_str, FIJI_JAR_DIR, FIJI_PLUGIN_DIR )
+        # bunwarpj_base_cmd = "java %s -cp %s/ij-1.49k.jar:%s/bUnwarpJ_-2.6.1.jar bunwarpj.bUnwarpJ_" % \
+        #    (jvm_memory_str, FIJI_JAR_DIR, FIJI_PLUGIN_DIR)
+        bunwarpj_base_cmd = "bunwarpj %s" % jvm_memory_str
         return bunwarpj_base_cmd
     return None
 
-def get_base_command_imagej2( memory_size=None, macro=None, jython_script=None ):
+
+def get_base_command_imagej2(memory_size=None, macro=None, jython_script=None):
     imagej2_executable = get_imagej2_executable()
     if imagej2_executable is None:
         return None
     cmd = '%s --ij2 --headless --debug' % imagej2_executable
     if memory_size is not None:
-        memory_size_cmd = ' -DXms=%s -DXmx=%s' % ( memory_size, memory_size )
+        memory_size_cmd = ' -DXms=%s -DXmx=%s' % (memory_size, memory_size)
         cmd += memory_size_cmd
     if macro is not None:
-        cmd += ' --macro %s' % os.path.abspath( macro )
+        cmd += ' --macro %s' % os.path.abspath(macro)
     if jython_script is not None:
-        cmd += ' --jython %s' % os.path.abspath( jython_script )
+        cmd += ' --jython %s' % os.path.abspath(jython_script)
     return cmd
 
-def get_file_extension( image_format ):
+
+def get_file_extension(image_format):
     """
     Return a valid bioformats file extension based on the received
-    value of image_format( e.g., "gif" is returned as ".gif".
+    value of image_format(e.g., "gif" is returned as ".gif".
     """
     return '.%s' % image_format
 
-def get_file_name_without_extension( file_path ):
+
+def get_file_name_without_extension(file_path):
     """
     Eliminate the .ext from the received file name, assuming that
     the file name consists of only a single '.'.
     """
-    if os.path.exists( file_path ):
-        path, name = os.path.split( file_path )
-        name_items = name.split( '.' )
-        return name_items[ 0 ]
+    if os.path.exists(file_path):
+        path, name = os.path.split(file_path)
+        name_items = name.split('.')
+        return name_items[0]
     return None
 
+
 def get_imagej2_executable():
     """
     Fiji names the ImageJ executable different names for different
-    architectures, so figure out which name we need.
+    architectures, but our bioconda recipe allows us to do this.
     """
-    platform_dict = get_platform_info_dict()
-    if platform_dict.get( 'architecture', None ) in [ 'x86_64' ]:
-        if platform_dict.get( 'os', None ) in [ 'darwin' ]:
-            return 'ImageJ-macosx'
-        if platform_dict.get( 'os', None ) in [ 'linux' ]:
-            return 'ImageJ-linux64'
-    return None
-    
-def get_input_image_path( tmp_dir, input_file, image_format ):
+    return 'ImageJ'
+
+
+def get_input_image_path(tmp_dir, input_file, image_format):
     """
     Bioformats uses file extensions (e.g., .job, .gif, etc)
     when reading and writing image files, so the Galaxy dataset
     naming convention of setting all file extensions as .dat
     must be handled.
     """
-    image_path = get_temporary_image_path( tmp_dir, image_format )
+    image_path = get_temporary_image_path(tmp_dir, image_format)
     # Remove the file so we can create a symlink.
-    os.remove( image_path )
-    os.symlink( input_file, image_path )
+    os.remove(image_path)
+    os.symlink(input_file, image_path)
     return image_path
 
+
 def get_platform_info_dict():
     '''Return a dict with information about the current platform.'''
     platform_dict = {}
     sysname, nodename, release, version, machine = os.uname()
-    platform_dict[ 'os' ] = sysname.lower()
-    platform_dict[ 'architecture' ] = machine.lower()
+    platform_dict['os'] = sysname.lower()
+    platform_dict['architecture'] = machine.lower()
     return platform_dict
 
-def get_stderr_exception( tmp_err, tmp_stderr, tmp_out, tmp_stdout, include_stdout=False ):
+
+def get_stderr_exception(tmp_err, tmp_stderr, tmp_out, tmp_stdout, include_stdout=False):
     tmp_stderr.close()
     """
     Return a stderr string of reasonable size.
     """
     # Get stderr, allowing for case where it's very large.
-    tmp_stderr = open( tmp_err, 'rb' )
+    tmp_stderr = open(tmp_err, 'rb')
     stderr_str = ''
     buffsize = BUFF_SIZE
     try:
         while True:
-            stderr_str += tmp_stderr.read( buffsize )
-            if not stderr_str or len( stderr_str ) % buffsize != 0:
+            stderr_str += tmp_stderr.read(buffsize)
+            if not stderr_str or len(stderr_str) % buffsize != 0:
                 break
     except OverflowError:
         pass
     tmp_stderr.close()
     if include_stdout:
-        tmp_stdout = open( tmp_out, 'rb' )
+        tmp_stdout = open(tmp_out, 'rb')
         stdout_str = ''
         buffsize = BUFF_SIZE
         try:
             while True:
-                stdout_str += tmp_stdout.read( buffsize )
-                if not stdout_str or len( stdout_str ) % buffsize != 0:
+                stdout_str += tmp_stdout.read(buffsize)
+                if not stdout_str or len(stdout_str) % buffsize != 0:
                     break
         except OverflowError:
             pass
     tmp_stdout.close()
     if include_stdout:
-        return 'STDOUT\n%s\n\nSTDERR\n%s\n' % ( stdout_str, stderr_str )
+        return 'STDOUT\n%s\n\nSTDERR\n%s\n' % (stdout_str, stderr_str)
     return stderr_str
 
-def get_temp_dir( prefix='tmp-imagej-', dir=None ):
+
+def get_temp_dir(prefix='tmp-imagej-', dir=None):
     """
     Return a temporary directory.
     """
-    return tempfile.mkdtemp( prefix=prefix, dir=dir )
+    return tempfile.mkdtemp(prefix=prefix, dir=dir)
 
-def get_tempfilename( dir=None, suffix=None ):
+
+def get_tempfilename(dir=None, suffix=None):
     """
     Return a temporary file name.
     """
-    fd, name = tempfile.mkstemp( suffix=suffix, dir=dir )
-    os.close( fd )
+    fd, name = tempfile.mkstemp(suffix=suffix, dir=dir)
+    os.close(fd)
     return name
 
-def get_temporary_image_path( tmp_dir, image_format ):
+
+def get_temporary_image_path(tmp_dir, image_format):
     """
     Return the path to a temporary file with a valid image format
     file extension that can be used with bioformats.
     """
-    file_extension = get_file_extension( image_format )
-    return get_tempfilename( tmp_dir, file_extension )
+    file_extension = get_file_extension(image_format)
+    return get_tempfilename(tmp_dir, file_extension)
 
-def handle_none_type( val, val_type='float' ):
+
+def handle_none_type(val, val_type='float'):
     if val is None:
         return ' None'
     else:
@@ -159,6 +167,7 @@
             return ' %d' % val
     return ' %s' % val
 
-def stop_err( msg ):
-    sys.stderr.write( msg )
-    sys.exit( 1 )
+
+def stop_err(msg):
+    sys.stderr.write(msg)
+    sys.exit(1)

--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/imagej2_binary_to_edm.py	Fri Jul 22 23:17:48 2016 -0400
@@ -0,0 +1,65 @@
+#!/usr/bin/env python
+import argparse
+import os
+import shutil
+import subprocess
+import tempfile
+import imagej2_base_utils
+
+parser = argparse.ArgumentParser()
+parser.add_argument( '--input', dest='input', help='Path to the input file' )
+parser.add_argument( '--input_datatype', dest='input_datatype', help='Datatype of the input image' )
+parser.add_argument( '--iterations', dest='iterations', type=int, help='Iterations' )
+parser.add_argument( '--count', dest='count', type=int, help='Count' )
+parser.add_argument( '--black_background', dest='black_background', help='Black background' )
+parser.add_argument( '--pad_edges_when_eroding', dest='pad_edges_when_eroding', help='Pad edges when eroding' )
+parser.add_argument( '--jython_script', dest='jython_script', help='Path to the Jython script' )
+parser.add_argument( '--output', dest='output', help='Path to the output file' )
+parser.add_argument( '--output_datatype', dest='output_datatype', help='Datatype of the output image' )
+args = parser.parse_args()
+
+tmp_dir = imagej2_base_utils.get_temp_dir()
+# ImageJ expects valid image file extensions, so the Galaxy .dat extension does not
+# work for some features.  The following creates a symlink with an appropriate file
+# extension that points to the Galaxy dataset.  This symlink is used by ImageJ.
+tmp_input_path = imagej2_base_utils.get_input_image_path( tmp_dir, args.input, args.input_datatype )
+tmp_output_path = imagej2_base_utils.get_temporary_image_path( tmp_dir, args.output_datatype )
+
+# Define command response buffers.
+tmp_out = tempfile.NamedTemporaryFile().name
+tmp_stdout = open( tmp_out, 'wb' )
+tmp_err = tempfile.NamedTemporaryFile().name
+tmp_stderr = open( tmp_err, 'wb' )
+# Java writes a lot of stuff to stderr, so we'll specify a file for handling actual errors.
+error_log = tempfile.NamedTemporaryFile( delete=False ).name
+
+# Build the command line.
+cmd = imagej2_base_utils.get_base_command_imagej2( None, jython_script=args.jython_script )
+if cmd is None:
+    imagej2_base_utils.stop_err( "ImageJ not found!" )
+cmd += ' %s' % error_log
+cmd += ' %s' % tmp_input_path
+cmd += ' %d' % args.iterations
+cmd += ' %d' % args.count
+cmd += ' %s' % args.black_background
+cmd += ' %s' % args.pad_edges_when_eroding
+cmd += ' %s' % tmp_output_path
+cmd += ' %s' % args.output_datatype
+
+# Run the command.
+proc = subprocess.Popen( args=cmd, stderr=tmp_stderr, stdout=tmp_stdout, shell=True )
+rc = proc.wait()
+
+# Handle execution errors.
+if rc != 0:
+    error_message = imagej2_base_utils.get_stderr_exception( tmp_err, tmp_stderr, tmp_out, tmp_stdout )
+    imagej2_base_utils.stop_err( error_message )
+
+# Handle processing errors.
+if os.path.getsize( error_log ) > 0:
+    error_message = open( error_log, 'r' ).read()
+    imagej2_base_utils.stop_err( error_message )
+
+# Save the output image.
+shutil.move( tmp_output_path, args.output )
+imagej2_base_utils.cleanup_before_exit( tmp_dir )

--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/imagej2_binary_to_edm_jython_script.py	Fri Jul 22 23:17:48 2016 -0400
@@ -0,0 +1,44 @@
+import jython_utils
+import sys
+from ij import IJ
+from ij import ImagePlus
+from ij.plugin.filter import Analyzer
+from ij.plugin.filter import EDM
+
+# Fiji Jython interpreter implements Python 2.5 which does not
+# provide support for argparse.
+error_log = sys.argv[ -8 ]
+input = sys.argv[ -7 ]
+iterations = int( sys.argv[ -6 ] )
+count = int( sys.argv[ -5 ] )
+black_background = jython_utils.asbool( sys.argv[ -4 ] )
+pad_edges_when_eroding = jython_utils.asbool( sys.argv[ -3 ] )
+tmp_output_path = sys.argv[ -2 ]
+output_datatype = sys.argv[ -1 ]
+
+# Open the input image file.
+input_image_plus = IJ.openImage( input )
+
+# Create a copy of the image.
+input_image_plus_copy = input_image_plus.duplicate()
+image_processor_copy = input_image_plus_copy.getProcessor()
+
+try:
+    # Set binary options.
+    options = jython_utils.get_binary_options( black_background=black_background,
+                                               iterations=iterations,
+                                               count=count,
+                                               pad_edges_when_eroding=pad_edges_when_eroding )
+    IJ.run( input_image_plus_copy, "Options...", options )
+
+    # Convert image to binary if necessary.
+    if not image_processor_copy.isBinary():
+        # Convert the image to binary grayscale.
+        IJ.run( input_image_plus_copy, "Make Binary", "" )
+
+    # Run the command.
+    IJ.run( input_image_plus_copy, "Distance Map", "" )
+    # Save the ImagePlus object as a new image.
+    IJ.saveAs( input_image_plus_copy, output_datatype, tmp_output_path )
+except Exception, e:
+    jython_utils.handle_error( error_log, str( e ) )

--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/imagej2_bunwarpj_adapt_transform.py	Fri Jul 22 23:17:48 2016 -0400
@@ -0,0 +1,65 @@
+#!/usr/bin/env python
+import argparse
+import subprocess
+import tempfile
+import imagej2_base_utils
+
+# Parse Command Line.
+parser = argparse.ArgumentParser()
+parser.add_argument( '--source_image', dest='source_image', help='Source image' )
+parser.add_argument( '--source_image_format', dest='source_image_format', help='Source image format' )
+parser.add_argument( '--target_image', dest='target_image', help='Target image' )
+parser.add_argument( '--target_image_format', dest='target_image_format', help='Target image format' )
+parser.add_argument( '--input_elastic_transformation', dest='input_elastic_transformation', help='Input elastic transformation matrix' )
+parser.add_argument( '--image_size_factor', dest='image_size_factor', type=float, help='Image size factor' )
+parser.add_argument( '--output', dest='output', help='Warping index' )
+
+args = parser.parse_args()
+
+tmp_dir = imagej2_base_utils.get_temp_dir()
+source_image_path = imagej2_base_utils.get_input_image_path( tmp_dir, args.source_image, args.source_image_format )
+target_image_path = imagej2_base_utils.get_input_image_path( tmp_dir, args.target_image, args.target_image_format )
+input_elastic_transformation_path = imagej2_base_utils.get_input_image_path( tmp_dir, args.input_elastic_transformation, 'txt' )
+
+# Define command response buffers.
+tmp_out = tempfile.NamedTemporaryFile().name
+tmp_stdout = open( tmp_out, 'wb' )
+tmp_err = tempfile.NamedTemporaryFile().name
+tmp_stderr = open( tmp_err, 'wb' )
+
+def is_power2( val ):
+    if val < 0:
+        return False
+    if val < 1:
+        val = 1.0 / val
+    val = int( val )
+    return ( ( val & ( val - 1 ) ) == 0 )
+
+# Build the command line to adapt the transformation.
+cmd = imagej2_base_utils.get_base_cmd_bunwarpj( None )
+if cmd is None:
+    imagej2_base_utils.stop_err( "bUnwarpJ not found!" )
+cmd += ' -adapt_transform'
+
+# Make sure the value of image_size_factor is a power of 2 (positive or negative).
+if is_power2( args.image_size_factor ):
+    image_size_factor = args.image_size_factor
+else:
+    msg = "Image size factor must be a positive or negative power of 2 (0.25, 0.5, 2, 4, 8, etc)."
+    imagej2_base_utils.stop_err( msg )
+
+# Target is sent before source.
+cmd += ' %s' % target_image_path
+cmd += ' %s' % source_image_path
+cmd += ' %s' % input_elastic_transformation_path
+cmd += ' %s' % args.output
+cmd += ' %2.f' % image_size_factor
+
+# Adapt the transformation based on the image size factor using bUnwarpJ.
+proc = subprocess.Popen( args=cmd, stderr=subprocess.PIPE, stdout=subprocess.PIPE, shell=True )
+rc = proc.wait()
+if rc != 0:
+    error_message = imagej2_base_utils.get_stderr_exception( tmp_err, tmp_stderr, tmp_out, tmp_stdout )
+    imagej2_base_utils.stop_err( error_message )
+
+imagej2_base_utils.cleanup_before_exit( tmp_dir )

--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/imagej2_bunwarpj_align.py	Fri Jul 22 23:17:48 2016 -0400
@@ -0,0 +1,178 @@
+#!/usr/bin/env python
+import argparse
+import os
+import shutil
+import subprocess
+import tempfile
+import imagej2_base_utils
+
+# Parse Command Line.
+parser = argparse.ArgumentParser()
+parser.add_argument( '--source_image', dest='source_image', help='Source image' )
+parser.add_argument( '--source_image_format', dest='source_image_format', help='Source image format' )
+parser.add_argument( '--source_mask', dest='source_mask', default=None, help='Source mask' )
+parser.add_argument( '--source_mask_format', dest='source_mask_format', default=None, help='Source mask image format' )
+parser.add_argument( '--target_image', dest='target_image', help='Target image' )
+parser.add_argument( '--target_image_format', dest='target_image_format', help='Target image format' )
+parser.add_argument( '--target_mask', dest='target_mask', default=None, help='Target mask' )
+parser.add_argument( '--target_mask_format', dest='target_mask_format', default=None, help='Target mask image format' )
+parser.add_argument( '--min_scale_def', dest='min_scale_def', type=int, help='Initial deformation' )
+parser.add_argument( '--max_scale_def', dest='max_scale_def', type=int, help='Final deformation' )
+parser.add_argument( '--max_subsamp_fact', dest='max_subsamp_fact', type=int, help='Image sub-sample factor' )
+parser.add_argument( '--divergence_weight', dest='divergence_weight', type=float, help='Divergence weight' )
+parser.add_argument( '--curl_weight', dest='curl_weight', type=float, help='Curl weight' )
+parser.add_argument( '--image_weight', dest='image_weight', type=float, help='Image weight' )
+parser.add_argument( '--consistency_weight', dest='consistency_weight', type=float, help='Consistency weight' )
+parser.add_argument( '--landmarks_weight', dest='landmarks_weight', type=float, help='Landmarks weight' )
+parser.add_argument( '--landmarks_file', dest='landmarks_file', default=None, help='Landmarks file' )
+parser.add_argument( '--source_affine_file', dest='source_affine_file', default=None, help='Initial source affine matrix transformation' )
+parser.add_argument( '--target_affine_file', dest='target_affine_file', default=None, help='Initial target affine matrix transformation' )
+parser.add_argument( '--mono', dest='mono', default=False, help='Unidirectional registration (source to target)' )
+parser.add_argument( '--source_trans_out', dest='source_trans_out', default=None, help='Direct source transformation matrix' )
+parser.add_argument( '--target_trans_out', dest='target_trans_out', default=None, help='Inverse target transformation matrix' )
+parser.add_argument( '--source_out', help='Output source image' )
+parser.add_argument( '--source_out_datatype', help='Output registered source image format' )
+parser.add_argument( '--target_out', default=None, help='Output target image' )
+parser.add_argument( '--target_out_datatype', default=None, help='Output registered target image format' )
+parser.add_argument( '--jython_script', dest='jython_script', help='Path to the Jython script' )
+
+args = parser.parse_args()
+
+if args.source_trans_out is not None and args.target_trans_out is not None:
+    save_transformation = True
+else:
+    save_transformation = False
+
+tmp_dir = imagej2_base_utils.get_temp_dir()
+source_image_path = imagej2_base_utils.get_input_image_path( tmp_dir, args.source_image, args.source_image_format )
+tmp_source_out_tiff_path = imagej2_base_utils.get_temporary_image_path( tmp_dir, 'tiff' )
+tmp_source_out_path = imagej2_base_utils.get_temporary_image_path( tmp_dir, args.source_out_datatype )
+target_image_path = imagej2_base_utils.get_input_image_path( tmp_dir, args.target_image, args.target_image_format )
+if not args.mono:
+    tmp_target_out_tiff_path = imagej2_base_utils.get_temporary_image_path( tmp_dir, 'tiff' )
+    tmp_target_out_path = imagej2_base_utils.get_temporary_image_path( tmp_dir, args.target_out_datatype )
+if args.source_mask is not None and args.target_mask is not None:
+    tmp_source_mask_path = imagej2_base_utils.get_input_image_path( tmp_dir, args.source_mask, args.source_mask_format )
+    tmp_target_mask_path = imagej2_base_utils.get_input_image_path( tmp_dir, args.target_mask, args.target_mask_format )
+if save_transformation:
+    # bUnwarpJ automatically names the transformation files based on the names
+    # of the source and target image file names.  We've defined symlinks to 
+    # temporary files with valid image extensions since ImageJ does not handle
+    # the Galaxy "dataset.dat" file extensions.
+    source_file_name = imagej2_base_utils.get_file_name_without_extension( tmp_source_out_tiff_path )
+    tmp_source_out_transf_path = os.path.join( tmp_dir, '%s_transf.txt' % source_file_name )
+    target_file_name = imagej2_base_utils.get_file_name_without_extension( tmp_target_out_tiff_path )
+    tmp_target_out_transf_path = os.path.join( tmp_dir, '%s_transf.txt' % target_file_name )
+
+# Define command response buffers.
+tmp_out = tempfile.NamedTemporaryFile().name
+tmp_stdout = open( tmp_out, 'wb' )
+tmp_err = tempfile.NamedTemporaryFile().name
+tmp_stderr = open( tmp_err, 'wb' )
+
+# Build the command line to align the two images.
+cmd = imagej2_base_utils.get_base_cmd_bunwarpj( None )
+if cmd is None:
+    imagej2_base_utils.stop_err( "bUnwarpJ not found!" )
+cmd += ' -align'
+# Target is sent before source.
+cmd += ' %s' % target_image_path
+if args.target_mask is None:
+    target_mask_str = ' NULL'
+else:
+    target_mask_str = ' %s' % tmp_target_mask_path
+cmd += target_mask_str
+cmd += ' %s' % source_image_path
+if args.source_mask is None:
+    source_mask_str = ' NULL'
+else:
+    source_mask_str = ' %s' % tmp_source_mask_path
+cmd += source_mask_str
+cmd += ' %d' % args.min_scale_def
+cmd += ' %d' % args.max_scale_def
+cmd += ' %d' % args.max_subsamp_fact
+cmd += ' %.1f' % args.divergence_weight
+cmd += ' %.1f' % args.curl_weight
+cmd += ' %.1f' % args.image_weight
+cmd += ' %.1f' % args.consistency_weight
+# Source is produced before target.
+cmd += ' %s' % tmp_source_out_tiff_path
+if not args.mono:
+    cmd += ' %s' % tmp_target_out_tiff_path
+if args.landmarks_file is not None:
+    # We have to create a temporary file with a .txt extension here so that
+    # bUnwarpJ will not ignore the Galaxy "dataset.dat" file.
+    tmp_landmarks_file_path = imagej2_base_utils.get_input_image_path( tmp_dir,
+                                                                       args.landmarks_file,
+                                                                       'txt' )
+    cmd += ' -landmarks'
+    cmd += ' %.1f' % args.landmarks_weight
+    cmd += ' %s' % tmp_landmarks_file_path
+if args.source_affine_file is not None and args.target_affine_file is not None:
+    # Target is sent before source.
+    cmd += ' -affine'
+    cmd += ' %s' % args.target_affine_file
+    cmd += ' %s' % args.source_affine_file
+if args.mono:
+    cmd += ' -mono'
+if save_transformation:
+    cmd += ' -save_transformation'
+
+# Align the two images using bUnwarpJ.
+proc = subprocess.Popen( args=cmd, stderr=tmp_stderr, stdout=tmp_stdout, shell=True )
+rc = proc.wait()
+if rc != 0:
+    error_message = imagej2_base_utils.get_stderr_exception( tmp_err, tmp_stderr, tmp_out, tmp_stdout )
+    imagej2_base_utils.stop_err( error_message )
+
+# bUnwarpJ produces tiff image stacks consisting of 3 slices which can be viewed in ImageJ.
+# The 3 slices are:: 1) the registered image, 2) the target image and 3) the black/white
+# warp image.  Galaxy supports only single-layered images, so we'll convert the images so they
+# can be viewed in Galaxy.
+
+# Define command response buffers.
+tmp_out = tempfile.NamedTemporaryFile().name
+tmp_stdout = open( tmp_out, 'wb' )
+tmp_err = tempfile.NamedTemporaryFile().name
+tmp_stderr = open( tmp_err, 'wb' )
+
+# Build the command line to handle the multi-slice tiff images.
+cmd = imagej2_base_utils.get_base_command_imagej2( None, jython_script=args.jython_script )
+if cmd is None:
+    imagej2_base_utils.stop_err( "ImageJ not found!" )
+if args.mono:
+    # bUnwarpJ will produce only a registered source image.
+    cmd += ' %s %s %s %s' % ( tmp_source_out_tiff_path,
+                              args.source_out_datatype,
+                              tmp_source_out_path,
+                              args.mono )
+else:
+    # bUnwarpJ will produce registered source and target images.
+    cmd += ' %s %s %s %s %s %s %s' % ( tmp_source_out_tiff_path,
+                                       args.source_out_datatype,
+                                       tmp_source_out_path,
+                                       tmp_target_out_tiff_path,
+                                       args.target_out_datatype,
+                                       tmp_target_out_path,
+                                       args.mono )
+
+# Merge the multi-slice tiff layers into an image that can be viewed in Galaxy.
+proc = subprocess.Popen( args=cmd, stderr=tmp_stderr, stdout=tmp_stdout, shell=True )
+rc = proc.wait()
+if rc != 0:
+    error_message = imagej2_base_utils.get_stderr_exception( tmp_err, tmp_stderr, tmp_out, tmp_stdout )
+    imagej2_base_utils.stop_err( error_message )
+
+# Save the Registered Source Image to the output dataset.
+shutil.move( tmp_source_out_path, args.source_out )
+if not args.mono:
+    # Move the Registered Target Image to the output dataset.
+    shutil.move( tmp_target_out_path, args.target_out )
+
+# If requested, save matrix transformations as additional datasets.
+if save_transformation:
+    shutil.move( tmp_source_out_transf_path, args.source_trans_out )
+    if not args.mono:
+        shutil.move( tmp_target_out_transf_path, args.target_trans_out )
+
+imagej2_base_utils.cleanup_before_exit( tmp_dir )

--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/imagej2_bunwarpj_align_jython_script.py	Fri Jul 22 23:17:48 2016 -0400
@@ -0,0 +1,37 @@
+import sys
+import jython_utils
+from ij import IJ
+
+# Fiji Jython interpreter implements Python 2.5 which does not
+# provide support for argparse.
+
+if sys.argv[ -1 ].lower() in [ 'true' ]:
+    mono = True
+else:
+    mono = False
+
+if mono:
+    # bUnwarpJ has been called with the -mono param.
+    source_tiff_path = sys.argv[ -4 ]
+    source_datatype = sys.argv[ -3 ]
+    source_path = sys.argv[ -2 ]
+else:
+    source_tiff_path = sys.argv[ -7 ]
+    source_datatype = sys.argv[ -6 ]
+    source_path = sys.argv[ -5 ]
+    target_tiff_path = sys.argv[ -4 ]
+    target_datatype = sys.argv[ -3 ]
+    target_path = sys.argv[ -2 ]
+
+# Save the Registered Source Image.
+registered_source_image = IJ.openImage( source_tiff_path )
+if source_datatype == 'tiff':
+    registered_source_image = jython_utils.convert_before_saving_as_tiff( registered_source_image )
+IJ.saveAs( registered_source_image, source_datatype, source_path )
+
+if not mono:
+    # Save the Registered Target Image.
+    registered_target_image = IJ.openImage( target_tiff_path )
+    if target_datatype == 'tiff':
+        registered_target_image = jython_utils.convert_before_saving_as_tiff( registered_target_image )
+    IJ.saveAs( registered_target_image, target_datatype, target_path )

--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/imagej2_bunwarpj_compare_elastic.py	Fri Jul 22 23:17:48 2016 -0400
@@ -0,0 +1,65 @@
+#!/usr/bin/env python
+import argparse
+import subprocess
+import tempfile
+import imagej2_base_utils
+
+# Parse Command Line.
+parser = argparse.ArgumentParser()
+parser.add_argument( '--source_image', dest='source_image', help='Source image' )
+parser.add_argument( '--source_image_format', dest='source_image_format', help='Source image format' )
+parser.add_argument( '--target_image', dest='target_image', help='Target image' )
+parser.add_argument( '--target_image_format', dest='target_image_format', help='Target image format' )
+parser.add_argument( '--source_transformation', dest='source_transformation', help='Direct source transformation matrix' )
+parser.add_argument( '--target_transformation', dest='target_transformation', help='Inverse target transformation matrix' )
+parser.add_argument( '--output', dest='output', help='Warping index' )
+
+args = parser.parse_args()
+
+tmp_dir = imagej2_base_utils.get_temp_dir()
+source_image_path = imagej2_base_utils.get_input_image_path( tmp_dir, args.source_image, args.source_image_format )
+target_image_path = imagej2_base_utils.get_input_image_path( tmp_dir, args.target_image, args.target_image_format )
+source_transformation_path = imagej2_base_utils.get_input_image_path( tmp_dir, args.source_transformation, 'txt' )
+target_transformation_path = imagej2_base_utils.get_input_image_path( tmp_dir, args.target_transformation, 'txt' )
+# bUnwarpJ produces several lines of output that we need to discard, so
+# we'll use a temporary output file from which we'll read only the last line.
+tmp_output_path = imagej2_base_utils.get_input_image_path( tmp_dir, args.output, 'txt' )
+
+# Define command response buffers.
+tmp_out = tempfile.NamedTemporaryFile().name
+tmp_stdout = open( tmp_out, 'wb' )
+tmp_err = tempfile.NamedTemporaryFile().name
+tmp_stderr = open( tmp_err, 'wb' )
+
+# Build the command line to calculate the warping index.
+cmd = imagej2_base_utils.get_base_cmd_bunwarpj( None )
+if cmd is None:
+    imagej2_base_utils.stop_err( "bUnwarpJ not found!" )
+cmd += ' -compare_elastic'
+# Target is sent before source.
+cmd += ' %s' % target_image_path
+cmd += ' %s' % source_image_path
+cmd += ' %s' % target_transformation_path
+cmd += ' %s' % source_transformation_path
+cmd += ' > %s' % tmp_output_path
+
+# Calculate the warping index of two elastic transformations using bUnwarpJ.
+proc = subprocess.Popen( args=cmd, stderr=subprocess.PIPE, stdout=subprocess.PIPE, shell=True )
+rc = proc.wait()
+if rc != 0:
+    error_message = imagej2_base_utils.get_stderr_exception( tmp_err, tmp_stderr, tmp_out, tmp_stdout )
+    imagej2_base_utils.stop_err( error_message )
+
+# Example contents of tmp_output_path:
+# ['Target image : ~/tmpKAYF1P.jpg\n',
+#  'Source image : ~/tmpgQX0dy.gif\n',
+#  'Target Transformation file : ~/tmpZJC_4B.txt\n',
+#  'Source Transformation file : ~/tmphsSojl.txt\n',
+#  ' Warping index = 14.87777347388348\n']
+results = open( tmp_output_path, 'r' ).readlines()
+warp_index = results[ -1 ].split( ' ' )[ -1 ]
+outf = open( args.output, 'wb' )
+outf.write( '%s' % warp_index )
+outf.close()
+
+imagej2_base_utils.cleanup_before_exit( tmp_dir )

--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/imagej2_bunwarpj_compare_elastic_raw.py	Fri Jul 22 23:17:48 2016 -0400
@@ -0,0 +1,64 @@
+#!/usr/bin/env python
+import argparse
+import subprocess
+import tempfile
+import imagej2_base_utils
+
+# Parse Command Line.
+parser = argparse.ArgumentParser()
+parser.add_argument( '--source_image', dest='source_image', help='Source image' )
+parser.add_argument( '--source_image_format', dest='source_image_format', help='Source image format' )
+parser.add_argument( '--target_image', dest='target_image', help='Target image' )
+parser.add_argument( '--target_image_format', dest='target_image_format', help='Target image format' )
+parser.add_argument( '--target_elastic_transformation', dest='target_elastic_transformation', help='Target elastic transformation matrix' )
+parser.add_argument( '--source_raw_transformation', dest='source_raw_transformation', help='Source raw transformation matrix' )
+parser.add_argument( '--output', dest='output', help='Warping index' )
+
+args = parser.parse_args()
+
+tmp_dir = imagej2_base_utils.get_temp_dir()
+source_image_path = imagej2_base_utils.get_input_image_path( tmp_dir, args.source_image, args.source_image_format )
+target_image_path = imagej2_base_utils.get_input_image_path( tmp_dir, args.target_image, args.target_image_format )
+target_elastic_transformation_path = imagej2_base_utils.get_input_image_path( tmp_dir, args.target_elastic_transformation, 'txt' )
+source_raw_transformation_path = imagej2_base_utils.get_input_image_path( tmp_dir, args.source_raw_transformation, 'txt' )
+# bUnwarpJ produces several lines of output that we need to discard, so
+# we'll use a temporary output file from which we'll read only the last line.
+tmp_output_path = imagej2_base_utils.get_input_image_path( tmp_dir, args.output, 'txt' )
+
+# Define command response buffers.
+tmp_out = tempfile.NamedTemporaryFile().name
+tmp_stdout = open( tmp_out, 'wb' )
+tmp_err = tempfile.NamedTemporaryFile().name
+tmp_stderr = open( tmp_err, 'wb' )
+
+# Build the command line to calculate the warping index.
+cmd = imagej2_base_utils.get_base_cmd_bunwarpj( None )
+if cmd is None:
+    imagej2_base_utils.stop_err( "bUnwarpJ not found!" )
+cmd += ' -compare_elastic_raw'
+cmd += ' %s' % target_image_path
+cmd += ' %s' % source_image_path
+cmd += ' %s' % target_elastic_transformation_path
+cmd += ' %s' % source_raw_transformation_path
+cmd += ' > %s' % tmp_output_path
+
+# Calculate the warping index of elastic and raw transformations using bUnwarpJ.
+proc = subprocess.Popen( args=cmd, stderr=subprocess.PIPE, stdout=subprocess.PIPE, shell=True )
+rc = proc.wait()
+if rc != 0:
+    error_message = imagej2_base_utils.get_stderr_exception( tmp_err, tmp_stderr, tmp_out, tmp_stdout )
+    imagej2_base_utils.stop_err( error_message )
+
+# Example contents of tmp_output_path:
+# ['Target image : ~/tmpHdt9Cs.jpg\n',
+#  'Source image : ~/tmpu6kyfc.gif\n',
+#  'Elastic Transformation file   : ~/tmp4vZurG.txt\n',
+#  'Raw Transformation file : ~/tmp2PNQcT.txt\n',
+#  ' Warping index = 25.007467512204983\n']
+results = open( tmp_output_path, 'r' ).readlines()
+warp_index = results[ -1 ].split( ' ' )[ -1 ]
+outf = open( args.output, 'wb' )
+outf.write( '%s' % warp_index )
+outf.close()
+
+imagej2_base_utils.cleanup_before_exit( tmp_dir )

--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/imagej2_bunwarpj_compare_raw.py	Fri Jul 22 23:17:48 2016 -0400
@@ -0,0 +1,64 @@
+#!/usr/bin/env python
+import argparse
+import subprocess
+import tempfile
+import imagej2_base_utils
+
+# Parse Command Line.
+parser = argparse.ArgumentParser()
+parser.add_argument( '--source_image', dest='source_image', help='Source image' )
+parser.add_argument( '--source_image_format', dest='source_image_format', help='Source image format' )
+parser.add_argument( '--target_image', dest='target_image', help='Target image' )
+parser.add_argument( '--target_image_format', dest='target_image_format', help='Target image format' )
+parser.add_argument( '--target_raw_transformation', dest='target_raw_transformation', help='First raw transformation matrix' )
+parser.add_argument( '--source_raw_transformation', dest='source_raw_transformation', help='Second raw transformation matrix' )
+parser.add_argument( '--output', dest='output', help='Warping index' )
+
+args = parser.parse_args()
+
+tmp_dir = imagej2_base_utils.get_temp_dir()
+source_image_path = imagej2_base_utils.get_input_image_path( tmp_dir, args.source_image, args.source_image_format )
+target_image_path = imagej2_base_utils.get_input_image_path( tmp_dir, args.target_image, args.target_image_format )
+target_raw_transformation_path = imagej2_base_utils.get_input_image_path( tmp_dir, args.target_raw_transformation, 'txt' )
+source_raw_transformation_path = imagej2_base_utils.get_input_image_path( tmp_dir, args.source_raw_transformation, 'txt' )
+# bUnwarpJ produces several lines of output that we need to discard, so
+# we'll use a temporary output file from which we'll read only the last line.
+tmp_output_path = imagej2_base_utils.get_input_image_path( tmp_dir, args.output, 'txt' )
+
+# Define command response buffers.
+tmp_out = tempfile.NamedTemporaryFile().name
+tmp_stdout = open( tmp_out, 'wb' )
+tmp_err = tempfile.NamedTemporaryFile().name
+tmp_stderr = open( tmp_err, 'wb' )
+
+# Build the command line to calculate the warping index.
+cmd = imagej2_base_utils.get_base_cmd_bunwarpj( None )
+if cmd is None:
+    imagej2_base_utils.stop_err( "bUnwarpJ not found!" )
+cmd += ' -compare_raw'
+cmd += ' %s' % target_image_path
+cmd += ' %s' % source_image_path
+cmd += ' %s' % target_raw_transformation_path
+cmd += ' %s' % source_raw_transformation_path
+cmd += ' > %s' % tmp_output_path
+
+# Calculate the warping index of two raw transformations using bUnwarpJ.
+proc = subprocess.Popen( args=cmd, stderr=subprocess.PIPE, stdout=subprocess.PIPE, shell=True )
+rc = proc.wait()
+if rc != 0:
+    error_message = imagej2_base_utils.get_stderr_exception( tmp_err, tmp_stderr, tmp_out, tmp_stdout )
+    imagej2_base_utils.stop_err( error_message )
+
+# Example contents of tmp_output_path:
+# ['Target image : ~/tmp5WmDku.jpg\n',
+#  'Source image : ~/tmps74U40.gif\n',
+#  'Target Transformation file : ~/tmpXofC1x.txt\n',
+#  'Source Transformation file : ~/tmpFqNYe4.txt\n',
+#  ' Warping index = 24.111209027033937\n']
+results = open( tmp_output_path, 'r' ).readlines()
+warp_index = results[ -1 ].split( ' ' )[ -1 ]
+outf = open( args.output, 'wb' )
+outf.write( '%s' % warp_index )
+outf.close()
+
+imagej2_base_utils.cleanup_before_exit( tmp_dir )

--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/imagej2_bunwarpj_compose_elastic.py	Fri Jul 22 23:17:48 2016 -0400
@@ -0,0 +1,50 @@
+#!/usr/bin/env python
+import argparse
+import subprocess
+import tempfile
+import imagej2_base_utils
+
+# Parse Command Line.
+parser = argparse.ArgumentParser()
+parser.add_argument( '--source_image', dest='source_image', help='Source image' )
+parser.add_argument( '--source_image_format', dest='source_image_format', help='Source image format' )
+parser.add_argument( '--target_image', dest='target_image', help='Target image' )
+parser.add_argument( '--target_image_format', dest='target_image_format', help='Target image format' )
+parser.add_argument( '--source_elastic_transformation', dest='source_elastic_transformation', help='Direct source transformation matrix' )
+parser.add_argument( '--target_elastic_transformation', dest='target_elastic_transformation', help='Inverse target transformation matrix' )
+parser.add_argument( '--output', dest='output', help='Warping index' )
+
+args = parser.parse_args()
+
+tmp_dir = imagej2_base_utils.get_temp_dir()
+source_image_path = imagej2_base_utils.get_input_image_path( tmp_dir, args.source_image, args.source_image_format )
+target_image_path = imagej2_base_utils.get_input_image_path( tmp_dir, args.target_image, args.target_image_format )
+source_elastic_transformation_path = imagej2_base_utils.get_input_image_path( tmp_dir, args.source_elastic_transformation, 'txt' )
+target_elastic_transformation_path = imagej2_base_utils.get_input_image_path( tmp_dir, args.target_elastic_transformation, 'txt' )
+
+# Define command response buffers.
+tmp_out = tempfile.NamedTemporaryFile().name
+tmp_stdout = open( tmp_out, 'wb' )
+tmp_err = tempfile.NamedTemporaryFile().name
+tmp_stderr = open( tmp_err, 'wb' )
+
+# Build the command line to compose the transformations.
+cmd = imagej2_base_utils.get_base_cmd_bunwarpj( None )
+if cmd is None:
+    imagej2_base_utils.stop_err( "bUnwarpJ not found!" )
+cmd += ' -compose_elastic'
+# Target is sent before source.
+cmd += ' %s' % target_image_path
+cmd += ' %s' % source_image_path
+cmd += ' %s' % target_elastic_transformation_path
+cmd += ' %s' % source_elastic_transformation_path
+cmd += ' %s' % args.output
+
+# Compose the two elastic transformations into a raw transformation using bUnwarpJ.
+proc = subprocess.Popen( args=cmd, stderr=subprocess.PIPE, stdout=subprocess.PIPE, shell=True )
+rc = proc.wait()
+if rc != 0:
+    error_message = imagej2_base_utils.get_stderr_exception( tmp_err, tmp_stderr, tmp_out, tmp_stdout )
+    imagej2_base_utils.stop_err( error_message )
+
+imagej2_base_utils.cleanup_before_exit( tmp_dir )

--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/imagej2_bunwarpj_compose_raw.py	Fri Jul 22 23:17:48 2016 -0400
@@ -0,0 +1,50 @@
+#!/usr/bin/env python
+import argparse
+import subprocess
+import tempfile
+import imagej2_base_utils
+
+# Parse Command Line.
+parser = argparse.ArgumentParser()
+parser.add_argument( '--source_image', dest='source_image', help='Source image' )
+parser.add_argument( '--source_image_format', dest='source_image_format', help='Source image format' )
+parser.add_argument( '--target_image', dest='target_image', help='Target image' )
+parser.add_argument( '--target_image_format', dest='target_image_format', help='Target image format' )
+parser.add_argument( '--source_raw_transformation', dest='source_raw_transformation', help='Direct source transformation matrix' )
+parser.add_argument( '--target_raw_transformation', dest='target_raw_transformation', help='Inverse target transformation matrix' )
+parser.add_argument( '--output', dest='output', help='Warping index' )
+
+args = parser.parse_args()
+
+tmp_dir = imagej2_base_utils.get_temp_dir()
+source_image_path = imagej2_base_utils.get_input_image_path( tmp_dir, args.source_image, args.source_image_format )
+target_image_path = imagej2_base_utils.get_input_image_path( tmp_dir, args.target_image, args.target_image_format )
+source_raw_transformation_path = imagej2_base_utils.get_input_image_path( tmp_dir, args.source_raw_transformation, 'txt' )
+target_raw_transformation_path = imagej2_base_utils.get_input_image_path( tmp_dir, args.target_raw_transformation, 'txt' )
+
+# Define command response buffers.
+tmp_out = tempfile.NamedTemporaryFile().name
+tmp_stdout = open( tmp_out, 'wb' )
+tmp_err = tempfile.NamedTemporaryFile().name
+tmp_stderr = open( tmp_err, 'wb' )
+
+# Build the command line to compose the two raw transformations.
+cmd = imagej2_base_utils.get_base_cmd_bunwarpj( None )
+if cmd is None:
+    imagej2_base_utils.stop_err( "bUnwarpJ not found!" )
+cmd += ' -compose_raw'
+# Target is sent before source.
+cmd += ' %s' % target_image_path
+cmd += ' %s' % source_image_path
+cmd += ' %s' % target_raw_transformation_path
+cmd += ' %s' % source_raw_transformation_path
+cmd += ' %s' % args.output
+
+# Compose the two raw transformations into another raw transformation using bUnwarpJ.
+proc = subprocess.Popen( args=cmd, stderr=subprocess.PIPE, stdout=subprocess.PIPE, shell=True )
+rc = proc.wait()
+if rc != 0:
+    error_message = imagej2_base_utils.get_stderr_exception( tmp_err, tmp_stderr, tmp_out, tmp_stdout )
+    imagej2_base_utils.stop_err( error_message )
+
+imagej2_base_utils.cleanup_before_exit( tmp_dir )

--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/imagej2_bunwarpj_compose_raw_elastic.py	Fri Jul 22 23:17:48 2016 -0400
@@ -0,0 +1,50 @@
+#!/usr/bin/env python
+import argparse
+import subprocess
+import tempfile
+import imagej2_base_utils
+
+# Parse Command Line.
+parser = argparse.ArgumentParser()
+parser.add_argument( '--source_image', dest='source_image', help='Source image' )
+parser.add_argument( '--source_image_format', dest='source_image_format', help='Source image format' )
+parser.add_argument( '--target_image', dest='target_image', help='Target image' )
+parser.add_argument( '--target_image_format', dest='target_image_format', help='Target image format' )
+parser.add_argument( '--source_elastic_transformation', dest='source_elastic_transformation', help='Direct source transformation matrix' )
+parser.add_argument( '--target_raw_transformation', dest='target_raw_transformation', help='Inverse target transformation matrix' )
+parser.add_argument( '--output', dest='output', help='Warping index' )
+
+args = parser.parse_args()
+
+tmp_dir = imagej2_base_utils.get_temp_dir()
+source_image_path = imagej2_base_utils.get_input_image_path( tmp_dir, args.source_image, args.source_image_format )
+target_image_path = imagej2_base_utils.get_input_image_path( tmp_dir, args.target_image, args.target_image_format )
+source_elastic_transformation_path = imagej2_base_utils.get_input_image_path( tmp_dir, args.source_elastic_transformation, 'txt' )
+target_raw_transformation_path = imagej2_base_utils.get_input_image_path( tmp_dir, args.target_raw_transformation, 'txt' )
+
+# Define command response buffers.
+tmp_out = tempfile.NamedTemporaryFile().name
+tmp_stdout = open( tmp_out, 'wb' )
+tmp_err = tempfile.NamedTemporaryFile().name
+tmp_stderr = open( tmp_err, 'wb' )
+
+# Build the command line to compose the raw and elastic transformations.
+cmd = imagej2_base_utils.get_base_cmd_bunwarpj( None )
+if cmd is None:
+    imagej2_base_utils.stop_err( "bUnwarpJ not found!" )
+cmd += ' -compose_raw_elastic'
+# Target is sent before source.
+cmd += ' %s' % target_image_path
+cmd += ' %s' % source_image_path
+cmd += ' %s' % target_raw_transformation_path
+cmd += ' %s' % source_elastic_transformation_path
+cmd += ' %s' % args.output
+
+# Compose the raw and elastic transformations into another raw transformation using bUnwarpJ.
+proc = subprocess.Popen( args=cmd, stderr=subprocess.PIPE, stdout=subprocess.PIPE, shell=True )
+rc = proc.wait()
+if rc != 0:
+    error_message = imagej2_base_utils.get_stderr_exception( tmp_err, tmp_stderr, tmp_out, tmp_stdout )
+    imagej2_base_utils.stop_err( error_message )
+
+imagej2_base_utils.cleanup_before_exit( tmp_dir )

--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/imagej2_bunwarpj_convert_to_raw.py	Fri Jul 22 23:17:48 2016 -0400
@@ -0,0 +1,47 @@
+#!/usr/bin/env python
+import argparse
+import subprocess
+import tempfile
+import imagej2_base_utils
+
+# Parse Command Line.
+parser = argparse.ArgumentParser()
+parser.add_argument( '--source_image', dest='source_image', help='Source image' )
+parser.add_argument( '--source_image_format', dest='source_image_format', help='Source image format' )
+parser.add_argument( '--target_image', dest='target_image', help='Target image' )
+parser.add_argument( '--target_image_format', dest='target_image_format', help='Target image format' )
+parser.add_argument( '--elastic_transformation', dest='elastic_transformation', help='Elastic transformation as saved by bUnwarpJ in elastic format' )
+parser.add_argument( '--raw_transformation', dest='raw_transformation', help='Raw transformation' )
+
+args = parser.parse_args()
+
+tmp_dir = imagej2_base_utils.get_temp_dir()
+source_image_path = imagej2_base_utils.get_input_image_path( tmp_dir, args.source_image, args.source_image_format )
+target_image_path = imagej2_base_utils.get_input_image_path( tmp_dir, args.target_image, args.target_image_format )
+elastic_transformation_path = imagej2_base_utils.get_input_image_path( tmp_dir, args.elastic_transformation, 'txt' )
+
+# Define command response buffers.
+tmp_out = tempfile.NamedTemporaryFile().name
+tmp_stdout = open( tmp_out, 'wb' )
+tmp_err = tempfile.NamedTemporaryFile().name
+tmp_stderr = open( tmp_err, 'wb' )
+
+# Build the command line to convert the B-spline (i.e., elastic) transformation to raw.
+cmd = imagej2_base_utils.get_base_cmd_bunwarpj( None )
+if cmd is None:
+    imagej2_base_utils.stop_err( "bUnwarpJ not found!" )
+cmd += ' -convert_to_raw'
+# Target is sent before source.
+cmd += ' %s' % target_image_path
+cmd += ' %s' % source_image_path
+cmd += ' %s' % elastic_transformation_path
+cmd += ' %s' % args.raw_transformation
+
+# Convert the elastic transformation to raw using bUnwarpJ.
+proc = subprocess.Popen( args=cmd, stderr=tmp_stderr, stdout=tmp_stdout, shell=True )
+rc = proc.wait()
+if rc != 0:
+    error_message = imagej2_base_utils.get_stderr_exception( tmp_err, tmp_stderr, tmp_out, tmp_stdout )
+    imagej2_base_utils.stop_err( error_message )
+
+imagej2_base_utils.cleanup_before_exit( tmp_dir )

--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/imagej2_bunwarpj_elastic_transform.py	Fri Jul 22 23:17:48 2016 -0400
@@ -0,0 +1,73 @@
+#!/usr/bin/env python
+import argparse
+import shutil
+import subprocess
+import tempfile
+import imagej2_base_utils
+
+# Parse Command Line.
+parser = argparse.ArgumentParser()
+parser.add_argument( '--source_image', dest='source_image', help='Source image' )
+parser.add_argument( '--source_image_format', dest='source_image_format', help='Source image format' )
+parser.add_argument( '--target_image', dest='target_image', help='Target image' )
+parser.add_argument( '--target_image_format', dest='target_image_format', help='Target image format' )
+parser.add_argument( '--elastic_transformation', dest='elastic_transformation', help='Elastic transformation as saved by bUnwarpJ in elastic format' )
+parser.add_argument( '--source_out', help='Output source image' )
+parser.add_argument( '--source_out_datatype', help='Output registered source image format' )
+parser.add_argument( '--jython_script', dest='jython_script', help='Path to the Jython script' )
+
+args = parser.parse_args()
+
+tmp_dir = imagej2_base_utils.get_temp_dir()
+source_image_path = imagej2_base_utils.get_input_image_path( tmp_dir, args.source_image, args.source_image_format )
+tmp_source_out_tiff_path = imagej2_base_utils.get_temporary_image_path( tmp_dir, 'tiff' )
+tmp_source_out_path = imagej2_base_utils.get_temporary_image_path( tmp_dir, args.source_out_datatype )
+target_image_path = imagej2_base_utils.get_input_image_path( tmp_dir, args.target_image, args.target_image_format )
+elastic_transformation_path = imagej2_base_utils.get_input_image_path( tmp_dir, args.elastic_transformation, 'txt' )
+
+# Define command response buffers.
+tmp_out = tempfile.NamedTemporaryFile().name
+tmp_stdout = open( tmp_out, 'wb' )
+tmp_err = tempfile.NamedTemporaryFile().name
+tmp_stderr = open( tmp_err, 'wb' )
+
+# Build the command line to apply the transformation.
+cmd = imagej2_base_utils.get_base_cmd_bunwarpj( None )
+if cmd is None:
+    imagej2_base_utils.stop_err( "bUnwarpJ not found!" )
+cmd += ' -elastic_transform'
+# Target is sent before source.
+cmd += ' %s' % target_image_path
+cmd += ' %s' % source_image_path
+cmd += ' %s' % elastic_transformation_path
+cmd += ' %s' % tmp_source_out_tiff_path
+
+# Apply the elastic transformation using bUnwarpJ.
+proc = subprocess.Popen( args=cmd, stderr=tmp_stderr, stdout=tmp_stdout, shell=True )
+rc = proc.wait()
+if rc != 0:
+    error_message = imagej2_base_utils.get_stderr_exception( tmp_err, tmp_stderr, tmp_out, tmp_stdout )
+    imagej2_base_utils.stop_err( error_message )
+
+# Convert the registered image to the specified output format.
+tmp_out = tempfile.NamedTemporaryFile().name
+tmp_stdout = open( tmp_out, 'wb' )
+tmp_err = tempfile.NamedTemporaryFile().name
+tmp_stderr = open( tmp_err, 'wb' )
+
+cmd = imagej2_base_utils.get_base_command_imagej2( None, jython_script=args.jython_script )
+if cmd is None:
+    imagej2_base_utils.stop_err( "ImageJ not found!" )
+cmd += ' %s %s %s' % ( tmp_source_out_tiff_path,
+                       args.source_out_datatype,
+                       tmp_source_out_path )
+
+proc = subprocess.Popen( args=cmd, stderr=tmp_stderr, stdout=tmp_stdout, shell=True )
+rc = proc.wait()
+if rc != 0:
+    error_message = imagej2_base_utils.get_stderr_exception( tmp_err, tmp_stderr, tmp_out, tmp_stdout )
+    imagej2_base_utils.stop_err( error_message )
+
+# Save the Registered Source Image to the defined output.
+shutil.move( tmp_source_out_path, args.source_out )
+imagej2_base_utils.cleanup_before_exit( tmp_dir )

--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/imagej2_bunwarpj_elastic_transform_jython_script.py	Fri Jul 22 23:17:48 2016 -0400
@@ -0,0 +1,16 @@
+import sys
+import jython_utils
+from ij import IJ
+
+# Fiji Jython interpreter implements Python 2.5 which does not
+# provide support for argparse.
+
+source_tiff_path = sys.argv[ -3 ]
+source_datatype = sys.argv[ -2 ]
+source_path = sys.argv[ -1 ]
+
+# Save the Registered Source Image.
+registered_source_image = IJ.openImage( source_tiff_path )
+if source_datatype == 'tiff':
+    registered_source_image = jython_utils.convert_before_saving_as_tiff( registered_source_image )
+IJ.saveAs( registered_source_image, source_datatype, source_path )

--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/imagej2_bunwarpj_raw_transform.py	Fri Jul 22 23:17:48 2016 -0400
@@ -0,0 +1,73 @@
+#!/usr/bin/env python
+import argparse
+import shutil
+import subprocess
+import tempfile
+import imagej2_base_utils
+
+# Parse Command Line.
+parser = argparse.ArgumentParser()
+parser.add_argument( '--source_image', dest='source_image', help='Source image' )
+parser.add_argument( '--source_image_format', dest='source_image_format', help='Source image format' )
+parser.add_argument( '--target_image', dest='target_image', help='Target image' )
+parser.add_argument( '--target_image_format', dest='target_image_format', help='Target image format' )
+parser.add_argument( '--raw_transformation', dest='raw_transformation', help='Raw transformation as saved by bUnwarpJ' )
+parser.add_argument( '--source_out', help='Output source image' )
+parser.add_argument( '--source_out_datatype', help='Output registered source image format' )
+parser.add_argument( '--jython_script', dest='jython_script', help='Path to the Jython script' )
+
+args = parser.parse_args()
+
+tmp_dir = imagej2_base_utils.get_temp_dir()
+source_image_path = imagej2_base_utils.get_input_image_path( tmp_dir, args.source_image, args.source_image_format )
+tmp_source_out_tiff_path = imagej2_base_utils.get_temporary_image_path( tmp_dir, 'tiff' )
+tmp_source_out_path = imagej2_base_utils.get_temporary_image_path( tmp_dir, args.source_out_datatype )
+target_image_path = imagej2_base_utils.get_input_image_path( tmp_dir, args.target_image, args.target_image_format )
+raw_transformation_path = imagej2_base_utils.get_input_image_path( tmp_dir, args.raw_transformation, 'txt' )
+
+# Define command response buffers.
+tmp_out = tempfile.NamedTemporaryFile().name
+tmp_stdout = open( tmp_out, 'wb' )
+tmp_err = tempfile.NamedTemporaryFile().name
+tmp_stderr = open( tmp_err, 'wb' )
+
+# Build the command line to apply the raw transformation.
+cmd = imagej2_base_utils.get_base_cmd_bunwarpj( None )
+if cmd is None:
+    imagej2_base_utils.stop_err( "bUnwarpJ not found!" )
+cmd += ' -raw_transform'
+# Target is sent before source.
+cmd += ' %s' % target_image_path
+cmd += ' %s' % source_image_path
+cmd += ' %s' % raw_transformation_path
+cmd += ' %s' % tmp_source_out_tiff_path
+
+# Apply the raw transformation using bUnwarpJ.
+proc = subprocess.Popen( args=cmd, stderr=tmp_stderr, stdout=tmp_stdout, shell=True )
+rc = proc.wait()
+if rc != 0:
+    error_message = imagej2_base_utils.get_stderr_exception( tmp_err, tmp_stderr, tmp_out, tmp_stdout )
+    imagej2_base_utils.stop_err( error_message )
+
+# Convert the registered image to the specified output format.
+tmp_out = tempfile.NamedTemporaryFile().name
+tmp_stdout = open( tmp_out, 'wb' )
+tmp_err = tempfile.NamedTemporaryFile().name
+tmp_stderr = open( tmp_err, 'wb' )
+
+cmd = imagej2_base_utils.get_base_command_imagej2( None, jython_script=args.jython_script )
+if cmd is None:
+    imagej2_base_utils.stop_err( "ImageJ not found!" )
+cmd += ' %s %s %s' % ( tmp_source_out_tiff_path,
+                       args.source_out_datatype,
+                       tmp_source_out_path )
+
+proc = subprocess.Popen( args=cmd, stderr=tmp_stderr, stdout=tmp_stdout, shell=True )
+rc = proc.wait()
+if rc != 0:
+    error_message = imagej2_base_utils.get_stderr_exception( tmp_err, tmp_stderr, tmp_out, tmp_stdout )
+    imagej2_base_utils.stop_err( error_message )
+
+# Save the Registered Source Image to the defined output.
+shutil.move( tmp_source_out_path, args.source_out )
+imagej2_base_utils.cleanup_before_exit( tmp_dir )

--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/imagej2_bunwarpj_raw_transform_jython_script.py	Fri Jul 22 23:17:48 2016 -0400
@@ -0,0 +1,16 @@
+import sys
+import jython_utils
+from ij import IJ
+
+# Fiji Jython interpreter implements Python 2.5 which does not
+# provide support for argparse.
+
+source_tiff_path = sys.argv[ -3 ]
+source_datatype = sys.argv[ -2 ]
+source_path = sys.argv[ -1 ]
+
+# Save the Registered Source Image.
+registered_source_image = IJ.openImage( source_tiff_path )
+if source_datatype == 'tiff':
+    registered_source_image = jython_utils.convert_before_saving_as_tiff( registered_source_image )
+IJ.saveAs( registered_source_image, source_datatype, source_path )

--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/imagej2_create_image.py	Fri Jul 22 23:17:48 2016 -0400
@@ -0,0 +1,40 @@
+#!/usr/bin/env python
+import argparse
+import shutil
+import subprocess
+import tempfile
+import imagej2_base_utils
+
+if __name__=="__main__":
+    # Parse Command Line.
+    parser = argparse.ArgumentParser()
+    parser.add_argument( '--width', dest='width', type=int, help='Image width in pixels' )
+    parser.add_argument( '--height', dest='height', type=int, help='Image height in pixels' )
+    parser.add_argument( '--depth', dest='depth', type=int, help='Image depth (specifies the number of stack slices)' )
+    parser.add_argument( '--image_type', dest='image_type', help='Image type' )
+    parser.add_argument( '--image_title', dest='image_title', default='', help='Image title' )
+    parser.add_argument( '--output_datatype', dest='output_datatype', help='Output image format' )
+    parser.add_argument( '--jython_script', dest='jython_script', help='Path to the Jython script' )
+    parser.add_argument( '--out_fname', help='Path to the output file' )
+    args = parser.parse_args()
+
+    tmp_dir = imagej2_base_utils.get_temp_dir()
+    tmp_image_path = imagej2_base_utils.get_temporary_image_path( tmp_dir, args.output_datatype )
+
+    # Define command response buffers.
+    tmp_out = tempfile.NamedTemporaryFile().name
+    tmp_stdout = open( tmp_out, 'wb' )
+    tmp_err = tempfile.NamedTemporaryFile().name
+    tmp_stderr = open( tmp_err, 'wb' )
+    # Build the command line.
+    cmd = imagej2_base_utils.get_base_command_imagej2( None, jython_script=args.jython_script )
+    if cmd is None:
+        imagej2_base_utils.stop_err( "ImageJ not found!" )
+    cmd += ' %s %d %d %d %s %s' % ( args.image_title, args.width, args.height, args.depth, args.image_type, tmp_image_path )
+    proc = subprocess.Popen( args=cmd, stderr=tmp_stderr, stdout=tmp_stdout, shell=True )
+    rc = proc.wait()
+    if rc != 0:
+        error_message = imagej2_base_utils.get_stderr_exception( tmp_err, tmp_stderr, tmp_out, tmp_stdout )
+        imagej2_base_utils.stop_err( error_message )
+    shutil.move( tmp_image_path, args.out_fname )
+    imagej2_base_utils.cleanup_before_exit( tmp_dir )

--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/imagej2_create_image_jython_script.py	Fri Jul 22 23:17:48 2016 -0400
@@ -0,0 +1,14 @@
+import sys
+from ij import IJ
+
+# Fiji Jython interpreter implements Python 2.5 which does not
+# provide support for argparse.
+title = sys.argv[ -6 ]
+width = int( sys.argv[ -5 ] )
+height = int( sys.argv[ -4 ] )
+depth = int( sys.argv[ -3 ] )
+type = sys.argv[ -2 ].replace( '_', ' ' )
+tmp_image_path = sys.argv[ -1 ]
+
+imp = IJ.newImage( title, type, width, height, depth )
+IJ.save( imp, "%s" % tmp_image_path )

--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/imagej2_enhance_contrast.py	Fri Jul 22 23:17:48 2016 -0400
@@ -0,0 +1,63 @@
+#!/usr/bin/env python
+import argparse
+import os
+import shutil
+import subprocess
+import tempfile
+import imagej2_base_utils
+
+parser = argparse.ArgumentParser()
+parser.add_argument( '--input', dest='input', help='Path to the input file' )
+parser.add_argument( '--input_datatype', dest='input_datatype', help='Datatype of the input image' )
+parser.add_argument( '--equalize_histogram', dest='equalize_histogram', help='Equalize_histogram' )
+parser.add_argument( '--saturated_pixels', dest='saturated_pixels', type=float, default=None, help='Saturated pixel pct' )
+parser.add_argument( '--normalize', dest='normalize', help='Normalize' )
+parser.add_argument( '--jython_script', dest='jython_script', help='Path to the Jython script' )
+parser.add_argument( '--output', dest='output', help='Path to the output file' )
+parser.add_argument( '--output_datatype', dest='output_datatype', help='Datatype of the output image' )
+args = parser.parse_args()
+
+tmp_dir = imagej2_base_utils.get_temp_dir()
+# ImageJ expects valid image file extensions, so the Galaxy .dat extension does not
+# work for some features.  The following creates a symlink with an appropriate file
+# extension that points to the Galaxy dataset.  This symlink is used by ImageJ.
+tmp_input_path = imagej2_base_utils.get_input_image_path( tmp_dir, args.input, args.input_datatype )
+tmp_output_path = imagej2_base_utils.get_temporary_image_path( tmp_dir, args.output_datatype )
+
+# Define command response buffers.
+tmp_out = tempfile.NamedTemporaryFile().name
+tmp_stdout = open( tmp_out, 'wb' )
+tmp_err = tempfile.NamedTemporaryFile().name
+tmp_stderr = open( tmp_err, 'wb' )
+# Java writes a lot of stuff to stderr, so we'll specify a file for handling actual errors.
+error_log = tempfile.NamedTemporaryFile( delete=False ).name
+
+# Build the command line.
+cmd = imagej2_base_utils.get_base_command_imagej2( None, jython_script=args.jython_script )
+if cmd is None:
+    imagej2_base_utils.stop_err( "ImageJ not found!" )
+cmd += ' %s' % error_log
+cmd += ' %s' % tmp_input_path
+cmd += ' %s' % args.equalize_histogram
+cmd += imagej2_base_utils.handle_none_type( args.saturated_pixels )
+cmd += ' %s' % args.normalize
+cmd += ' %s' % tmp_output_path
+cmd += ' %s' % args.output_datatype
+
+# Run the command.
+proc = subprocess.Popen( args=cmd, stderr=tmp_stderr, stdout=tmp_stdout, shell=True )
+rc = proc.wait()
+
+# Handle execution errors.
+if rc != 0:
+    error_message = imagej2_base_utils.get_stderr_exception( tmp_err, tmp_stderr, tmp_out, tmp_stdout )
+    imagej2_base_utils.stop_err( error_message )
+
+# Handle processing errors.
+if os.path.getsize( error_log ) > 0:
+    error_message = open( error_log, 'r' ).read()
+    imagej2_base_utils.stop_err( error_message )
+
+# Save the output image.
+shutil.move( tmp_output_path, args.output )
+imagej2_base_utils.cleanup_before_exit( tmp_dir )

--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/imagej2_enhance_contrast_jython_script.py	Fri Jul 22 23:17:48 2016 -0400
@@ -0,0 +1,42 @@
+import jython_utils
+import sys
+from ij import IJ
+
+# Fiji Jython interpreter implements Python 2.5 which does not
+# provide support for argparse.
+error_log = sys.argv[ -7 ]
+input = sys.argv[ -6 ]
+equalize_histogram = jython_utils.asbool( sys.argv[ -5 ] )
+saturated_pixels = sys.argv[ -4 ]
+normalize = jython_utils.asbool( sys.argv[ -3 ] )
+tmp_output_path = sys.argv[ -2 ]
+output_datatype = sys.argv[ -1 ]
+
+# Open the input image file.
+input_image_plus = IJ.openImage( input )
+
+# Create a copy of the image.
+input_image_plus_copy = input_image_plus.duplicate()
+image_processor_copy = input_image_plus_copy.getProcessor()
+bit_depth = image_processor_copy.getBitDepth()
+
+# Set the options
+options = []
+# If equalize_histogram, saturated_pixels and normalize are ignored.
+if equalize_histogram:
+    options.append( 'equalize' )
+else:
+    if saturated_pixels not in [ None, 'None' ]:
+        # Fiji allows only a single decimal place for this value.
+        options.append( 'saturated=%.3f' % float( saturated_pixels ) )
+    # Normalization of RGB images is not supported.
+    if bit_depth != 24 and normalize:
+        options.append( 'normalize' )
+try:
+    # Run the command.
+    options = "%s" % ' '.join( options )
+    IJ.run( input_image_plus_copy, "Enhance Contrast...", options )
+    # Save the ImagePlus object as a new image.
+    IJ.saveAs( input_image_plus_copy, output_datatype, tmp_output_path )
+except Exception, e:
+    jython_utils.handle_error( error_log, str( e ) )

--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/imagej2_find_edges.py	Fri Jul 22 23:17:48 2016 -0400
@@ -0,0 +1,57 @@
+#!/usr/bin/env python
+import argparse
+import os
+import shutil
+import subprocess
+import tempfile
+import imagej2_base_utils
+
+parser = argparse.ArgumentParser()
+parser.add_argument( '--input', dest='input', help='Path to the input file' )
+parser.add_argument( '--input_datatype', dest='input_datatype', help='Datatype of the input image' )
+parser.add_argument( '--jython_script', dest='jython_script', help='Path to the Jython script' )
+parser.add_argument( '--output', dest='output', help='Path to the output file' )
+parser.add_argument( '--output_datatype', dest='output_datatype', help='Datatype of the output image' )
+args = parser.parse_args()
+
+tmp_dir = imagej2_base_utils.get_temp_dir()
+# ImageJ expects valid image file extensions, so the Galaxy .dat extension does not
+# work for some features.  The following creates a symlink with an appropriate file
+# extension that points to the Galaxy dataset.  This symlink is used by ImageJ.
+tmp_input_path = imagej2_base_utils.get_input_image_path( tmp_dir, args.input, args.input_datatype )
+tmp_output_path = imagej2_base_utils.get_temporary_image_path( tmp_dir, args.output_datatype )
+
+# Define command response buffers.
+tmp_out = tempfile.NamedTemporaryFile().name
+tmp_stdout = open( tmp_out, 'wb' )
+tmp_err = tempfile.NamedTemporaryFile().name
+tmp_stderr = open( tmp_err, 'wb' )
+# Java writes a lot of stuff to stderr, so we'll specify a file for handling actual errors.
+error_log = tempfile.NamedTemporaryFile( delete=False ).name
+
+# Build the command line.
+cmd = imagej2_base_utils.get_base_command_imagej2( None, jython_script=args.jython_script )
+if cmd is None:
+    imagej2_base_utils.stop_err( "ImageJ not found!" )
+cmd += ' %s' % error_log
+cmd += ' %s' % tmp_input_path
+cmd += ' %s' % tmp_output_path
+cmd += ' %s' % args.output_datatype
+
+# Run the command.
+proc = subprocess.Popen( args=cmd, stderr=tmp_stderr, stdout=tmp_stdout, shell=True )
+rc = proc.wait()
+
+# Handle execution errors.
+if rc != 0:
+    error_message = imagej2_base_utils.get_stderr_exception( tmp_err, tmp_stderr, tmp_out, tmp_stdout )
+    imagej2_base_utils.stop_err( error_message )
+
+# Handle processing errors.
+if os.path.getsize( error_log ) > 0:
+    error_message = open( error_log, 'r' ).read()
+    imagej2_base_utils.stop_err( error_message )
+
+# Save the output image.
+shutil.move( tmp_output_path, args.output )
+imagej2_base_utils.cleanup_before_exit( tmp_dir )

--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/imagej2_find_edges_jython_script.py	Fri Jul 22 23:17:48 2016 -0400
@@ -0,0 +1,25 @@
+import jython_utils
+import sys
+from ij import IJ
+
+# Fiji Jython interpreter implements Python 2.5 which does not
+# provide support for argparse.
+error_log = sys.argv[ -4 ]
+input = sys.argv[ -3 ]
+tmp_output_path = sys.argv[ -2 ]
+output_datatype = sys.argv[ -1 ]
+
+# Open the input image file.
+input_image_plus = IJ.openImage( input )
+
+# Create a copy of the image.
+input_image_plus_copy = input_image_plus.duplicate()
+image_processor_copy = input_image_plus_copy.getProcessor()
+
+try:
+    # Run the command.
+    IJ.run( input_image_plus_copy, "Find Edges", "" )
+    # Save the ImagePlus object as a new image.
+    IJ.saveAs( input_image_plus_copy, output_datatype, tmp_output_path )
+except Exception, e:
+    jython_utils.handle_error( error_log, str( e ) )

--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/imagej2_find_maxima.py	Fri Jul 22 23:17:48 2016 -0400
@@ -0,0 +1,69 @@
+#!/usr/bin/env python
+import argparse
+import os
+import shutil
+import subprocess
+import tempfile
+import imagej2_base_utils
+
+parser = argparse.ArgumentParser()
+parser.add_argument( '--input', dest='input', help='Path to the input file' )
+parser.add_argument( '--input_datatype', dest='input_datatype', help='Datatype of the input image' )
+parser.add_argument( '--scale_when_converting', dest='scale_when_converting', help='Scale when converting RGB image' )
+parser.add_argument( '--weighted_rgb_conversions', dest='weighted_rgb_conversions', help='Weighted RGB conversions for RGB image' )
+parser.add_argument( '--noise_tolerance', dest='noise_tolerance', type=int, help='Noise tolerance' )
+parser.add_argument( '--output_type', dest='output_type', help='Output type' )
+parser.add_argument( '--exclude_edge_maxima', dest='exclude_edge_maxima', help='Exclude edge maxima' )
+parser.add_argument( '--light_background', dest='light_background', help='Light background' )
+parser.add_argument( '--jython_script', dest='jython_script', help='Path to the Jython script' )
+parser.add_argument( '--output', dest='output', help='Path to the output file' )
+parser.add_argument( '--output_datatype', dest='output_datatype', help='Datatype of the output image' )
+args = parser.parse_args()
+
+tmp_dir = imagej2_base_utils.get_temp_dir()
+# ImageJ expects valid image file extensions, so the Galaxy .dat extension does not
+# work for some features.  The following creates a symlink with an appropriate file
+# extension that points to the Galaxy dataset.  This symlink is used by ImageJ.
+tmp_input_path = imagej2_base_utils.get_input_image_path( tmp_dir, args.input, args.input_datatype )
+tmp_output_path = imagej2_base_utils.get_temporary_image_path( tmp_dir, args.output_datatype )
+
+# Define command response buffers.
+tmp_out = tempfile.NamedTemporaryFile().name
+tmp_stdout = open( tmp_out, 'wb' )
+tmp_err = tempfile.NamedTemporaryFile().name
+tmp_stderr = open( tmp_err, 'wb' )
+# Java writes a lot of stuff to stderr, so we'll specify a file for handling actual errors.
+error_log = tempfile.NamedTemporaryFile( delete=False ).name
+
+# Build the command line.
+cmd = imagej2_base_utils.get_base_command_imagej2( None, jython_script=args.jython_script )
+if cmd is None:
+    imagej2_base_utils.stop_err( "ImageJ not found!" )
+cmd += ' %s' % error_log
+cmd += ' %s' % tmp_input_path
+cmd += ' %s' % args.scale_when_converting
+cmd += ' %s' % args.weighted_rgb_conversions
+cmd += ' %d' % args.noise_tolerance
+cmd += ' %s' % args.output_type
+cmd += ' %s' % args.exclude_edge_maxima
+cmd += ' %s' % args.light_background
+cmd += ' %s' % tmp_output_path
+cmd += ' %s' % args.output_datatype
+
+# Run the command.
+proc = subprocess.Popen( args=cmd, stderr=tmp_stderr, stdout=tmp_stdout, shell=True )
+rc = proc.wait()
+
+# Handle execution errors.
+if rc != 0:
+    error_message = imagej2_base_utils.get_stderr_exception( tmp_err, tmp_stderr, tmp_out, tmp_stdout )
+    imagej2_base_utils.stop_err( error_message )
+
+# Handle processing errors.
+if os.path.getsize( error_log ) > 0:
+    error_message = open( error_log, 'r' ).read()
+    imagej2_base_utils.stop_err( error_message )
+
+# Save the output image.
+shutil.move( tmp_output_path, args.output )
+imagej2_base_utils.cleanup_before_exit( tmp_dir )

--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/imagej2_find_maxima_jython_script.py	Fri Jul 22 23:17:48 2016 -0400
@@ -0,0 +1,94 @@
+import sys
+import jython_utils
+from ij import ImagePlus, IJ
+from ij.plugin.filter import Analyzer, MaximumFinder
+from ij.process import ImageProcessor
+from jarray import array
+
+# Fiji Jython interpreter implements Python 2.5 which does not
+# provide support for argparse.
+error_log = sys.argv[ -10 ]
+input = sys.argv[ -9 ]
+scale_when_converting = jython_utils.asbool( sys.argv[ -8 ] )
+weighted_rgb_conversions = jython_utils.asbool( sys.argv[ -7 ] )
+noise_tolerance = int( sys.argv[ -6 ] )
+output_type = sys.argv[ -5 ]
+exclude_edge_maxima = jython_utils.asbool( sys.argv[ -4 ] )
+light_background = jython_utils.asbool( sys.argv[ -3 ] )
+tmp_output_path = sys.argv[ -2 ]
+output_datatype = sys.argv[ -1 ]
+
+# Open the input image file.
+input_image_plus = IJ.openImage( input )
+
+# Create a copy of the image.
+input_image_plus_copy = input_image_plus.duplicate()
+image_processor_copy = input_image_plus_copy.getProcessor()
+bit_depth = image_processor_copy.getBitDepth()
+analyzer = Analyzer( input_image_plus_copy )
+
+try:
+    # Set the conversion options.
+    options = []
+    # The following 2 options are applicable only to RGB images.
+    if bit_depth == 24:
+        if scale_when_converting:
+            option.append( "scale" )
+        if weighted_rgb_conversions:
+            options.append( "weighted" )
+    # Perform conversion - must happen even if no options are set.
+    IJ.run( input_image_plus_copy, "Conversions...", "%s" % " ".join( options ) )
+    if output_type in [ 'List', 'Count' ]:
+        # W're  generating a tabular file for the output.
+        # Set the Find Maxima options.
+        options = [ 'noise=%d' % noise_tolerance ]
+        if output_type.find( '_' ) > 0:
+            output_type_str = 'output=[%s]' % output_type.replace( '_', ' ' )
+        else:
+            output_type_str = 'output=%s' % output_type
+        options.append( output_type_str )
+        if exclude_edge_maxima:
+            options.append( 'exclude' )
+        if light_background:
+            options.append( 'light' )
+        # Run the command.
+        IJ.run( input_image_plus_copy, "Find Maxima...", "%s" % " ".join( options ) )
+        results_table = analyzer.getResultsTable()
+        results_table.saveAs( tmp_output_path )
+    else:
+        # Find the maxima of an image (does not find minima).
+        # LIMITATIONS: With output_type=Segmented_Particles
+        # (watershed segmentation), some segmentation lines
+        # may be improperly placed if local maxima are suppressed
+        # by the tolerance.
+        mf = MaximumFinder()
+        if output_type == 'Single_Points':
+            output_type_param = mf.SINGLE_POINTS
+        elif output_type == 'Maxima_Within_Tolerance':
+            output_type_param = mf.IN_TOLERANCE
+        elif output_type == 'Segmented_Particles':
+            output_type_param = mf.SEGMENTED
+        elif output_type == 'List':
+            output_type_param = mf.LIST
+        elif output_type == 'Count':
+            output_type_param = mf.COUNT
+        # Get a new byteProcessor with a normal (uninverted) LUT where
+        # the marked points are set to 255 (Background 0). Pixels outside
+        # of the roi of the input image_processor_copy are not set. No
+        # output image is created for output types POINT_SELECTION, LIST
+        # and COUNT.  In these cases findMaxima returns null.
+        byte_processor = mf.findMaxima( image_processor_copy,
+                                        noise_tolerance,
+                                        ImageProcessor.NO_THRESHOLD,
+                                        output_type_param,
+                                        exclude_edge_maxima,
+                                        False )
+        # Invert the image or ROI.
+        byte_processor.invert()
+        if output_type == 'Segmented_Particles' and not light_background:
+            # Invert the values in this image's LUT (indexed color model).
+            byte_processor.invertLut()
+        image_plus = ImagePlus( "output", byte_processor )
+        IJ.saveAs( image_plus, output_datatype, tmp_output_path )
+except Exception, e:
+    jython_utils.handle_error( error_log, str( e ) )

--- a/imagej2_macros.xml	Sun Oct 11 13:31:38 2015 -0400
+++ b/imagej2_macros.xml	Fri Jul 22 23:17:48 2016 -0400
@@ -6,14 +6,6 @@
             <requirement type="package" version="20141125">fiji</requirement>
         </requirements>
     </xml>
-    <xml name="python_bioformats_requirements">
-        <requirements>
-            <requirement type="package" version="20141125">fiji</requirement>
-            <requirement type="package" version="1.0.11">javabridge</requirement>
-            <requirement type="package" version="1.9">numpy</requirement>
-            <requirement type="package" version="1.0.4">python_bioformats</requirement>
-        </requirements>
-    </xml>
     <xml name="stdio">
         <stdio>
             <exit_code range="1:"/>
@@ -111,11 +103,4 @@
             <citation type="doi">10.1038/nmeth.2102</citation>
         </citations>
     </xml>
-    <xml name="bioformats_fiji_javabridge_citations">
-        <citations>
-            <citation type="doi">10.1038/nmeth.2102</citation>
-            <citation type="doi">10.1038/nmeth.2019</citation>
-            <citation type="doi">10.1083/jcb.201004104</citation>
-        </citations>
-    </xml>
 </macros>

--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/imagej2_make_binary.py	Fri Jul 22 23:17:48 2016 -0400
@@ -0,0 +1,59 @@
+#!/usr/bin/env python
+import argparse
+import os
+import shutil
+import subprocess
+import tempfile
+import imagej2_base_utils
+
+parser = argparse.ArgumentParser()
+parser.add_argument( '--input', dest='input', help='Path to the input file' )
+parser.add_argument( '--input_datatype', dest='input_datatype', help='Datatype of the input image' )
+parser.add_argument( '--iterations', dest='iterations', type=int, help='Iterations' )
+parser.add_argument( '--count', dest='count', type=int, help='Count' )
+parser.add_argument( '--black_background', dest='black_background', help='Black background' )
+parser.add_argument( '--pad_edges_when_eroding', dest='pad_edges_when_eroding', help='Pad edges when eroding' )
+parser.add_argument( '--jython_script', dest='jython_script', help='Path to the Jython script' )
+parser.add_argument( '--output', dest='output', help='Path to the output file' )
+parser.add_argument( '--output_datatype', dest='output_datatype', help='Datatype of the output image' )
+args = parser.parse_args()
+
+tmp_dir = imagej2_base_utils.get_temp_dir()
+# ImageJ expects valid image file extensions, so the Galaxy .dat extension does not
+# work for some features.  The following creates a symlink with an appropriate file
+# extension that points to the Galaxy dataset.  This symlink is used by ImageJ.
+tmp_input_path = imagej2_base_utils.get_input_image_path( tmp_dir, args.input, args.input_datatype )
+tmp_output_path = imagej2_base_utils.get_temporary_image_path( tmp_dir, args.output_datatype )
+# Define command response buffers.
+tmp_out = tempfile.NamedTemporaryFile().name
+tmp_stdout = open( tmp_out, 'wb' )
+tmp_err = tempfile.NamedTemporaryFile().name
+tmp_stderr = open( tmp_err, 'wb' )
+# Java writes a lot of stuff to stderr, so we'll specify a file for handling actual errors.
+error_log = tempfile.NamedTemporaryFile( delete=False ).name
+# Build the command line.
+cmd = imagej2_base_utils.get_base_command_imagej2( None, jython_script=args.jython_script )
+if cmd is None:
+    imagej2_base_utils.stop_err( "ImageJ not found!" )
+cmd += ' %s' % error_log
+cmd += ' %s' % tmp_input_path
+cmd += ' %d' % args.iterations
+cmd += ' %d' % args.count
+cmd += ' %s' % args.black_background
+cmd += ' %s' % args.pad_edges_when_eroding
+cmd += ' %s' % tmp_output_path
+cmd += ' %s' % args.output_datatype
+# Run the command.
+proc = subprocess.Popen( args=cmd, stderr=tmp_stderr, stdout=tmp_stdout, shell=True )
+rc = proc.wait()
+# Handle execution errors.
+if rc != 0:
+    error_message = imagej2_base_utils.get_stderr_exception( tmp_err, tmp_stderr, tmp_out, tmp_stdout )
+    imagej2_base_utils.stop_err( error_message )
+# Handle processing errors.
+if os.path.getsize( error_log ) > 0:
+    error_message = open( error_log, 'r' ).read()
+    imagej2_base_utils.stop_err( error_message )
+# Save the output image.
+shutil.move( tmp_output_path, args.output )
+imagej2_base_utils.cleanup_before_exit( tmp_dir )

--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/imagej2_make_binary_jython_script.py	Fri Jul 22 23:17:48 2016 -0400
@@ -0,0 +1,37 @@
+import jython_utils
+import sys
+from ij import IJ
+
+# Fiji Jython interpreter implements Python 2.5 which does not
+# provide support for argparse.
+error_log = sys.argv[ -8 ]
+input = sys.argv[ -7 ]
+iterations = int( sys.argv[ -6 ] )
+count = int( sys.argv[ -5 ] )
+black_background = jython_utils.asbool( sys.argv[ -4 ] )
+pad_edges_when_eroding = jython_utils.asbool( sys.argv[ -3 ] )
+tmp_output_path = sys.argv[ -2 ]
+output_datatype = sys.argv[ -1 ]
+
+# Open the input image file.
+input_image_plus = IJ.openImage( input )
+
+# Create a copy of the image.
+input_image_plus_copy = input_image_plus.duplicate()
+image_processor_copy = input_image_plus_copy.getProcessor()
+
+try:
+    # Set binary options.
+    options = jython_utils.get_binary_options( black_background=black_background,
+                                               iterations=iterations,
+                                               count=count,
+                                               pad_edges_when_eroding=pad_edges_when_eroding )
+    IJ.run( input_image_plus_copy, "Options...", options )
+
+    # Run the command.
+    IJ.run( input_image_plus_copy, "Make Binary", "" )
+
+    # Save the ImagePlus object as a new image.
+    IJ.saveAs( input_image_plus_copy, output_datatype, tmp_output_path )
+except Exception, e:
+    jython_utils.handle_error( error_log, str( e ) )

--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/imagej2_math.py	Fri Jul 22 23:17:48 2016 -0400
@@ -0,0 +1,69 @@
+#!/usr/bin/env python
+import argparse
+import os
+import shutil
+import subprocess
+import tempfile
+import imagej2_base_utils
+
+parser = argparse.ArgumentParser()
+parser.add_argument( '--input', dest='input', help='Path to the input file' )
+parser.add_argument( '--input_datatype', dest='input_datatype', help='Datatype of the input image' )
+parser.add_argument( '--operation', dest='operation', help='Operation' )
+parser.add_argument( '--expression', dest='expression', default=None, help='Expression' )
+parser.add_argument( '--bin_constant', dest='bin_constant', type=int, default=None, help='Constant of type binary integer' )
+parser.add_argument( '--float_constant', dest='float_constant', type=float, default=None, help='Constant of type float' )
+parser.add_argument( '--jython_script', dest='jython_script', help='Path to the Jython script' )
+parser.add_argument( '--output', dest='output', help='Path to the output file' )
+parser.add_argument( '--output_datatype', dest='output_datatype', help='Datatype of the output image' )
+args = parser.parse_args()
+
+tmp_dir = imagej2_base_utils.get_temp_dir()
+# ImageJ expects valid image file extensions, so the Galaxy .dat extension does not
+# work for some features.  The following creates a symlink with an appropriate file
+# extension that points to the Galaxy dataset.  This symlink is used by ImageJ.
+tmp_input_path = imagej2_base_utils.get_input_image_path( tmp_dir, args.input, args.input_datatype )
+tmp_output_path = imagej2_base_utils.get_temporary_image_path( tmp_dir, args.output_datatype )
+
+# Define command response buffers.
+tmp_out = tempfile.NamedTemporaryFile().name
+tmp_stdout = open( tmp_out, 'wb' )
+tmp_err = tempfile.NamedTemporaryFile().name
+tmp_stderr = open( tmp_err, 'wb' )
+# Java writes a lot of stuff to stderr, so we'll specify a file for handling actual errors.
+error_log = tempfile.NamedTemporaryFile( delete=False ).name
+
+# Build the command line.
+cmd = imagej2_base_utils.get_base_command_imagej2( None, jython_script=args.jython_script )
+if cmd is None:
+    imagej2_base_utils.stop_err( "ImageJ not found!" )
+cmd += ' %s' % error_log
+cmd += ' %s' % tmp_input_path
+cmd += ' %s' % args.operation
+# Handle the expression, which must be enclosed in " if not None.
+if args.expression in [ None, 'None' ]:
+    cmd += ' None'
+else:
+    cmd += ' "%s"' % args.expression
+cmd += imagej2_base_utils.handle_none_type( args.bin_constant, val_type='int' )
+cmd += imagej2_base_utils.handle_none_type( args.float_constant )
+cmd += ' %s' % tmp_output_path
+cmd += ' %s' % args.output_datatype
+
+# Run the command.
+proc = subprocess.Popen( args=cmd, stderr=tmp_stderr, stdout=tmp_stdout, shell=True )
+rc = proc.wait()
+
+# Handle execution errors.
+if rc != 0:
+    error_message = imagej2_base_utils.get_stderr_exception( tmp_err, tmp_stderr, tmp_out, tmp_stdout )
+    imagej2_base_utils.stop_err( error_message )
+
+# Handle processing errors.
+if os.path.getsize( error_log ) > 0:
+    error_message = open( error_log, 'r' ).read()
+    imagej2_base_utils.stop_err( error_message )
+
+# Save the output image.
+shutil.move( tmp_output_path, args.output )
+imagej2_base_utils.cleanup_before_exit( tmp_dir )

--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/imagej2_math_jython_script.py	Fri Jul 22 23:17:48 2016 -0400
@@ -0,0 +1,78 @@
+import jython_utils
+import sys
+from ij import IJ
+
+# Fiji Jython interpreter implements Python 2.5 which does not
+# provide support for argparse.
+error_log = sys.argv[ -8 ]
+input = sys.argv[ -7 ]
+operation = sys.argv[ -6 ]
+expression = sys.argv[ -5 ]
+if sys.argv[ -4 ] in [ None, 'None' ]:
+    bin_constant = None
+else:
+    bin_constant = int( sys.argv[ -4 ] )
+if sys.argv[ -3 ] in [ None, 'None' ]:
+    float_constant = None
+else:
+    float_constant = float( sys.argv[ -3 ] )
+tmp_output_path = sys.argv[ -2 ]
+output_datatype = sys.argv[ -1 ]
+
+# Open the input image file.
+input_image_plus = IJ.openImage( input )
+
+# Create a copy of the image.
+input_image_plus_copy = input_image_plus.duplicate()
+image_processor_copy = input_image_plus_copy.getProcessor()
+bit_depth = image_processor_copy.getBitDepth()
+
+try:
+    if operation.find( '_' ) > 0:
+        # Square_Root.
+        new_operation = operation.replace( '_', ' ' )
+    elif operation in [ 'Square', 'Log', 'Exp', 'Abs', 'Reciprocal' ]:
+        # Unfortunately some ImageJ commands require a "..." ending
+        # while others do not.  There seems to be no pattern.
+        new_operation = '%s' % operation
+    else:
+        new_operation = '%s...' % operation
+
+    if operation == 'Macro':
+        # Apply the macro code to the image via a call to it's
+        # ImageProcessor since this option does not work using
+        # the IJ.run() method.
+        new_expression = expression.lstrip( '"' ).rstrip( '"' )
+        options = 'code=%s' % new_expression
+        image_processor_copy.applyMacro( new_expression )
+    elif operation == 'Min':
+        # Min does not work without using the ImageProcessor.
+        image_processor_copy.min( float_constant )
+    elif operation == 'Max':
+        # Max does not work without using the ImageProcessor.
+        image_processor_copy.max( float_constant )
+    elif operation == 'Abs':
+        if bit_depth not in [ 16, 32 ]:
+            # Convert the image to 32-bit.
+            IJ.run( input_image_plus_copy, "32-bit", "" )
+            IJ.run( input_image_plus_copy, new_operation, "" )
+    elif operation == 'Reciprocal':
+        if bit_depth != 32:
+            # Convert the image to 32 bit.
+            IJ.run( input_image_plus_copy, "32-bit", "" )
+            IJ.run( input_image_plus_copy, new_operation, "" )
+    else:
+        if operation in [ 'AND', 'OR', 'XOR' ]:
+            # Value is a binary number.
+            options = 'value=%d' % bin_constant
+        elif operation in [ 'Log', 'Exp', 'Square', 'Square_Root' ]:
+            # No constant value.
+            options = ''
+        else:
+            # Value is a floating point number.
+            options = 'value=%.3f' % float_constant
+        IJ.run( input_image_plus_copy, "%s" % new_operation, "%s" % options )
+    # Save the ImagePlus object as a new image.
+    IJ.saveAs( input_image_plus_copy, output_datatype, tmp_output_path )
+except Exception, e:
+    jython_utils.handle_error( error_log, str( e ) )

--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/imagej2_noise.py	Fri Jul 22 23:17:48 2016 -0400
@@ -0,0 +1,84 @@
+#!/usr/bin/env python
+import argparse
+import os
+import shutil
+import subprocess
+import tempfile
+import imagej2_base_utils
+
+if __name__=="__main__":
+    # Parse Command Line.
+    parser = argparse.ArgumentParser()
+    parser.add_argument( '--input', dest='input', help='Path to the input file' )
+    parser.add_argument( '--input_datatype', dest='input_datatype', help='Datatype of the input image' )
+    parser.add_argument( '--noise', dest='noise', help='Specified noise to add to or remove from the image' )
+    parser.add_argument( '--standard_deviation', dest='standard_deviation', type=float, default=None, help='Standard deviation' )
+    parser.add_argument( '--radius', dest='radius', type=float, default=None, help='Radius' )
+    parser.add_argument( '--threshold', dest='threshold', type=float, default=None, help='Threshold' )
+    parser.add_argument( '--which_outliers', dest='which_outliers', default=None, help='Which outliers' )
+    parser.add_argument( '--randomj', dest='randomj', default=None, help='RandomJ' )
+    parser.add_argument( '--trials', dest='trials', type=float, default=None, help='Trials' )
+    parser.add_argument( '--probability', dest='probability', type=float, default=None, help='Probability' )
+    parser.add_argument( '--lammbda', dest='lammbda', type=float, default=None, help='Lambda' )
+    parser.add_argument( '--order', dest='order', type=int, default=None, help='Order' )
+    parser.add_argument( '--mean', dest='mean', type=float, default=None, help='Mean' )
+    parser.add_argument( '--sigma', dest='sigma', type=float, default=None, help='Sigma' )
+    parser.add_argument( '--min', dest='min', type=float, default=None, help='Min' )
+    parser.add_argument( '--max', dest='max', type=float, default=None, help='Max' )
+    parser.add_argument( '--insertion', dest='insertion', default=None, help='Insertion' )
+    parser.add_argument( '--jython_script', dest='jython_script', help='Path to the Jython script' )
+    parser.add_argument( '--output', dest='output', help='Path to the output file' )
+    args = parser.parse_args()
+
+    tmp_dir = imagej2_base_utils.get_temp_dir()
+    # ImageJ expects valid image file extensions, so the Galaxy .dat extension does not
+    # work for some features.  The following creates a symlink with an appropriate file
+    # extension that points to the Galaxy dataset.  This symlink is used by ImageJ.
+    tmp_input_path = imagej2_base_utils.get_input_image_path( tmp_dir, args.input, args.input_datatype )
+    tmp_output_path = imagej2_base_utils.get_temporary_image_path( tmp_dir, args.input_datatype )
+
+    # Define command response buffers.
+    tmp_out = tempfile.NamedTemporaryFile().name
+    tmp_stdout = open( tmp_out, 'wb' )
+    tmp_err = tempfile.NamedTemporaryFile().name
+    tmp_stderr = open( tmp_err, 'wb' )
+    # Java writes a lot of stuff to stderr, so we'll specify a file for handling actual errors.
+    error_log = tempfile.NamedTemporaryFile( delete=False ).name
+    # Build the command line.
+    cmd = imagej2_base_utils.get_base_command_imagej2( None, jython_script=args.jython_script )
+    if cmd is None:
+        imagej2_base_utils.stop_err( "ImageJ not found!" )
+    cmd += ' %s' % error_log
+    cmd += ' %s' % tmp_input_path
+    cmd += ' %s' % args.input_datatype
+    cmd += ' %s ' % args.noise
+    cmd += imagej2_base_utils.handle_none_type( args.standard_deviation )
+    cmd += imagej2_base_utils.handle_none_type( args.radius )
+    cmd += imagej2_base_utils.handle_none_type( args.threshold )
+    cmd += ' %s' % args.which_outliers
+    cmd += ' %s' % args.randomj
+    cmd += imagej2_base_utils.handle_none_type( args.trials )
+    cmd += imagej2_base_utils.handle_none_type( args.probability )
+    cmd += imagej2_base_utils.handle_none_type( args.lammbda )
+    cmd += imagej2_base_utils.handle_none_type( args.order, val_type='int' )
+    cmd += imagej2_base_utils.handle_none_type( args.mean )
+    cmd += imagej2_base_utils.handle_none_type( args.sigma )
+    cmd += imagej2_base_utils.handle_none_type( args.min )
+    cmd += imagej2_base_utils.handle_none_type( args.max )
+    cmd += ' %s' % args.insertion
+    cmd += ' %s' % tmp_output_path
+
+    proc = subprocess.Popen( args=cmd, stderr=tmp_stderr, stdout=tmp_stdout, shell=True )
+    rc = proc.wait()
+
+    # Handle execution errors.
+    if rc != 0:
+        error_message = imagej2_base_utils.get_stderr_exception( tmp_err, tmp_stderr, tmp_out, tmp_stdout )
+        imagej2_base_utils.stop_err( error_message )
+    # Handle processing errors.
+    if os.path.getsize( error_log ) > 0:
+        error_message = open( error_log, 'r' ).read()
+        imagej2_base_utils.stop_err( error_message )
+    # Save the output image.
+    shutil.move( tmp_output_path, args.output )
+    imagej2_base_utils.cleanup_before_exit( tmp_dir )

--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/imagej2_noise_jython_script.py	Fri Jul 22 23:17:48 2016 -0400
@@ -0,0 +1,84 @@
+import sys
+from ij import IJ
+from ij import ImagePlus
+import jython_utils
+
+# Fiji Jython interpreter implements Python 2.5 which does not
+# provide support for argparse.
+error_log = sys.argv[ -19 ]
+input = sys.argv[ -18 ]
+image_datatype = sys.argv[ -17 ]
+noise = sys.argv[ -16 ]
+standard_deviation = sys.argv[ -15 ]
+radius = sys.argv[ -14 ]
+threshold = sys.argv[ -13 ]
+which_outliers = sys.argv[ -12 ]
+randomj = sys.argv[ -11 ]
+trials = sys.argv[ -10 ]
+probability = sys.argv[ -9 ]
+# Note the spelling - so things don't get confused due to Python lambda function.
+lammbda = sys.argv[ -8 ]
+order = sys.argv[ -7 ]
+mean = sys.argv[ -6 ]
+sigma = sys.argv[ -5 ]
+min = sys.argv[ -4 ]
+max = sys.argv[ -3 ]
+insertion = sys.argv[ -2 ]
+tmp_output_path = sys.argv[ -1 ]
+
+error = False
+
+# Open the input image file.
+image_plus = IJ.openImage( input )
+bit_depth = image_plus.getBitDepth()
+image_type = image_plus.getType()
+# Create an ImagePlus object for the image.
+image_plus_copy = image_plus.duplicate()
+# Make a copy of the image.
+image_processor_copy = image_plus_copy.getProcessor()
+
+# Perform the analysis on the ImagePlus object.
+if noise == 'add_noise':
+    IJ.run( image_plus_copy, "Add Noise", "" )
+elif noise == 'add_specified_noise':
+    IJ.run( image_plus_copy, "Add Specified Noise", "standard=&standard_deviation" )
+elif noise == 'salt_and_pepper':
+    IJ.run( image_plus_copy, "Salt and Pepper", "" )
+elif noise == 'despeckle':
+    IJ.run( image_plus_copy, "Despeckle", "" )
+elif noise == 'remove_outliers':
+    IJ.run( image_plus_copy, "Remove Outliers", "radius=&radius threshold=&threshold which=&which_outliers" )
+elif noise == 'remove_nans':
+    if bit_depth == 32:
+        IJ.run( image_plus_copy, "Remove NaNs", "" )
+    else:
+        # When Galaxy metadata for images is enhanced to include information like this,
+        # we'll be able to write tool validators rather than having to stop the job in
+        # an error state.
+        msg = "Remove NaNs requires a 32-bit image, the selected image is %d-bit" % bit_depth
+        jython_utils.handle_error( error_log, msg )
+        error = True
+elif noise == 'rof_denoise':
+    if image_type == ImagePlus.GRAY32:
+        IJ.run( image_plus_copy, "ROF Denoise", "" )
+    else:
+        msg = "ROF Denoise requires an image of type 32-bit grayscale, the selected image is %d-bit" % ( bit_depth )
+        jython_utils.handle_error( error_log, msg )
+        error = True
+elif noise == 'randomj':
+    if randomj == 'randomj_binomial':
+        IJ.run( image_plus_copy, "RandomJ Binomial", "trials=&trials probability=&probability insertion=&insertion" )
+    elif randomj == 'randomj_exponential':
+        IJ.run( image_plus_copy, "RandomJ Exponential", "lambda=&lammbda insertion=&insertion" )
+    elif randomj == 'randomj_gamma':
+        IJ.run( image_plus_copy, "RandomJ Gamma", "order=&order insertion=&insertion" )
+    elif randomj == 'randomj_gaussian':
+        IJ.run( image_plus_copy, "RandomJ Gaussian", "mean=&mean sigma=&sigma insertion=&insertion" )
+    elif randomj == 'randomj_poisson':
+        IJ.run( image_plus_copy, "RandomJ Poisson", "mean=&mean insertion=&insertion" )
+    elif randomj == 'randomj_uniform':
+        IJ.run( image_plus_copy, "RandomJ Uniform", "min=&min max=&max insertion=&insertion" )
+
+if not error:
+    # Save the ImagePlus object as a new image.
+    IJ.saveAs( image_plus_copy, image_datatype, tmp_output_path )

--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/imagej2_shadows.py	Fri Jul 22 23:17:48 2016 -0400
@@ -0,0 +1,59 @@
+#!/usr/bin/env python
+import argparse
+import os
+import shutil
+import subprocess
+import tempfile
+import imagej2_base_utils
+
+parser = argparse.ArgumentParser()
+parser.add_argument( '--input', dest='input', help='Path to the input file' )
+parser.add_argument( '--input_datatype', dest='input_datatype', help='Datatype of the input image' )
+parser.add_argument( '--direction', dest='direction', help='Direction' )
+parser.add_argument( '--jython_script', dest='jython_script', help='Path to the Jython script' )
+parser.add_argument( '--output', dest='output', help='Path to the output file' )
+parser.add_argument( '--output_datatype', dest='output_datatype', help='Datatype of the output image' )
+args = parser.parse_args()
+
+tmp_dir = imagej2_base_utils.get_temp_dir()
+# ImageJ expects valid image file extensions, so the Galaxy .dat extension does not
+# work for some features.  The following creates a symlink with an appropriate file
+# extension that points to the Galaxy dataset.  This symlink is used by ImageJ.
+tmp_input_path = imagej2_base_utils.get_input_image_path( tmp_dir, args.input, args.input_datatype )
+tmp_output_path = imagej2_base_utils.get_temporary_image_path( tmp_dir, args.output_datatype )
+
+# Define command response buffers.
+tmp_out = tempfile.NamedTemporaryFile().name
+tmp_stdout = open( tmp_out, 'wb' )
+tmp_err = tempfile.NamedTemporaryFile().name
+tmp_stderr = open( tmp_err, 'wb' )
+# Java writes a lot of stuff to stderr, so we'll specify a file for handling actual errors.
+error_log = tempfile.NamedTemporaryFile( delete=False ).name
+
+# Build the command line.
+cmd = imagej2_base_utils.get_base_command_imagej2( None, jython_script=args.jython_script )
+if cmd is None:
+    imagej2_base_utils.stop_err( "ImageJ not found!" )
+cmd += ' %s' % error_log
+cmd += ' %s' % tmp_input_path
+cmd += ' %s' % args.direction
+cmd += ' %s' % tmp_output_path
+cmd += ' %s' % args.output_datatype
+
+# Run the command.
+proc = subprocess.Popen( args=cmd, stderr=tmp_stderr, stdout=tmp_stdout, shell=True )
+rc = proc.wait()
+
+# Handle execution errors.
+if rc != 0:
+    error_message = imagej2_base_utils.get_stderr_exception( tmp_err, tmp_stderr, tmp_out, tmp_stdout )
+    imagej2_base_utils.stop_err( error_message )
+
+# Handle processing errors.
+if os.path.getsize( error_log ) > 0:
+    error_message = open( error_log, 'r' ).read()
+    imagej2_base_utils.stop_err( error_message )
+
+# Save the output image.
+shutil.move( tmp_output_path, args.output )
+imagej2_base_utils.cleanup_before_exit( tmp_dir )

--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/imagej2_shadows_jython_script.py	Fri Jul 22 23:17:48 2016 -0400
@@ -0,0 +1,26 @@
+import jython_utils
+import sys
+from ij import IJ
+
+# Fiji Jython interpreter implements Python 2.5 which does not
+# provide support for argparse.
+error_log = sys.argv[ -5 ]
+input = sys.argv[ -4 ]
+direction = sys.argv[ -3 ]
+tmp_output_path = sys.argv[ -2 ]
+output_datatype = sys.argv[ -1 ]
+
+# Open the input image file.
+input_image_plus = IJ.openImage( input )
+
+# Create a copy of the image.
+input_image_plus_copy = input_image_plus.duplicate()
+image_processor_copy = input_image_plus_copy.getProcessor()
+
+try:
+    # Run the command.
+    IJ.run( input_image_plus_copy, direction, "" )
+    # Save the ImagePlus object as a new image.
+    IJ.saveAs( input_image_plus_copy, output_datatype, tmp_output_path )
+except Exception, e:
+    jython_utils.handle_error( error_log, str( e ) )

--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/imagej2_sharpen.py	Fri Jul 22 23:17:48 2016 -0400
@@ -0,0 +1,57 @@
+#!/usr/bin/env python
+import argparse
+import os
+import shutil
+import subprocess
+import tempfile
+import imagej2_base_utils
+
+parser = argparse.ArgumentParser()
+parser.add_argument( '--input', dest='input', help='Path to the input file' )
+parser.add_argument( '--input_datatype', dest='input_datatype', help='Datatype of the input image' )
+parser.add_argument( '--jython_script', dest='jython_script', help='Path to the Jython script' )
+parser.add_argument( '--output', dest='output', help='Path to the output file' )
+parser.add_argument( '--output_datatype', dest='output_datatype', help='Datatype of the output image' )
+args = parser.parse_args()
+
+tmp_dir = imagej2_base_utils.get_temp_dir()
+# ImageJ expects valid image file extensions, so the Galaxy .dat extension does not
+# work for some features.  The following creates a symlink with an appropriate file
+# extension that points to the Galaxy dataset.  This symlink is used by ImageJ.
+tmp_input_path = imagej2_base_utils.get_input_image_path( tmp_dir, args.input, args.input_datatype )
+tmp_output_path = imagej2_base_utils.get_temporary_image_path( tmp_dir, args.output_datatype )
+
+# Define command response buffers.
+tmp_out = tempfile.NamedTemporaryFile().name
+tmp_stdout = open( tmp_out, 'wb' )
+tmp_err = tempfile.NamedTemporaryFile().name
+tmp_stderr = open( tmp_err, 'wb' )
+# Java writes a lot of stuff to stderr, so we'll specify a file for handling actual errors.
+error_log = tempfile.NamedTemporaryFile( delete=False ).name
+
+# Build the command line.
+cmd = imagej2_base_utils.get_base_command_imagej2( None, jython_script=args.jython_script )
+if cmd is None:
+    imagej2_base_utils.stop_err( "ImageJ not found!" )
+cmd += ' %s' % error_log
+cmd += ' %s' % tmp_input_path
+cmd += ' %s' % tmp_output_path
+cmd += ' %s' % args.output_datatype
+
+# Run the command.
+proc = subprocess.Popen( args=cmd, stderr=tmp_stderr, stdout=tmp_stdout, shell=True )
+rc = proc.wait()
+
+# Handle execution errors.
+if rc != 0:
+    error_message = imagej2_base_utils.get_stderr_exception( tmp_err, tmp_stderr, tmp_out, tmp_stdout )
+    imagej2_base_utils.stop_err( error_message )
+
+# Handle processing errors.
+if os.path.getsize( error_log ) > 0:
+    error_message = open( error_log, 'r' ).read()
+    imagej2_base_utils.stop_err( error_message )
+
+# Save the output image.
+shutil.move( tmp_output_path, args.output )
+imagej2_base_utils.cleanup_before_exit( tmp_dir )

--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/imagej2_sharpen_jython_script.py	Fri Jul 22 23:17:48 2016 -0400
@@ -0,0 +1,25 @@
+import jython_utils
+import sys
+from ij import IJ
+
+# Fiji Jython interpreter implements Python 2.5 which does not
+# provide support for argparse.
+error_log = sys.argv[ -4 ]
+input = sys.argv[ -3 ]
+tmp_output_path = sys.argv[ -2 ]
+output_datatype = sys.argv[ -1 ]
+
+# Open the input image file.
+input_image_plus = IJ.openImage( input )
+
+# Create a copy of the image.
+input_image_plus_copy = input_image_plus.duplicate()
+image_processor_copy = input_image_plus_copy.getProcessor()
+
+try:
+    # Run the command.
+    IJ.run( input_image_plus_copy, "Sharpen", "" )
+    # Save the ImagePlus object as a new image.
+    IJ.saveAs( input_image_plus_copy, output_datatype, tmp_output_path )
+except Exception, e:
+    jython_utils.handle_error( error_log, str( e ) )

--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/imagej2_skeletonize3d.py	Fri Jul 22 23:17:48 2016 -0400
@@ -0,0 +1,53 @@
+#!/usr/bin/env python
+import argparse
+import os
+import shutil
+import subprocess
+import tempfile
+import imagej2_base_utils
+
+parser = argparse.ArgumentParser()
+parser.add_argument( '--input', dest='input', help='Path to the input file' )
+parser.add_argument( '--input_datatype', dest='input_datatype', help='Datatype of the input image' )
+parser.add_argument( '--black_background', dest='black_background', help='Black background' )
+parser.add_argument( '--jython_script', dest='jython_script', help='Path to the Jython script' )
+parser.add_argument( '--output', dest='output', help='Path to the output file' )
+parser.add_argument( '--output_datatype', dest='output_datatype', help='Datatype of the output image' )
+args = parser.parse_args()
+
+tmp_dir = imagej2_base_utils.get_temp_dir()
+# ImageJ expects valid image file extensions, so the Galaxy .dat extension does not
+# work for some features.  The following creates a symlink with an appropriate file
+# extension that points to the Galaxy dataset.  This symlink is used by ImageJ.
+tmp_input_path = imagej2_base_utils.get_input_image_path( tmp_dir, args.input, args.input_datatype )
+tmp_output_path = imagej2_base_utils.get_temporary_image_path( tmp_dir, args.output_datatype )
+# Define command response buffers.
+tmp_out = tempfile.NamedTemporaryFile().name
+tmp_stdout = open( tmp_out, 'wb' )
+tmp_err = tempfile.NamedTemporaryFile().name
+tmp_stderr = open( tmp_err, 'wb' )
+# Java writes a lot of stuff to stderr, so we'll specify a file for handling actual errors.
+error_log = tempfile.NamedTemporaryFile( delete=False ).name
+# Build the command line.
+cmd = imagej2_base_utils.get_base_command_imagej2( None, jython_script=args.jython_script )
+if cmd is None:
+    imagej2_base_utils.stop_err( "ImageJ not found!" )
+cmd += ' %s' % error_log
+cmd += ' %s' % tmp_input_path
+cmd += ' %s' % args.black_background
+cmd += ' %s' % tmp_output_path
+cmd += ' %s' % args.output_datatype
+# Run the command.
+proc = subprocess.Popen( args=cmd, stderr=tmp_stderr, stdout=tmp_stdout, shell=True )
+rc = proc.wait()
+# Handle execution errors.
+if rc != 0:
+    error_message = imagej2_base_utils.get_stderr_exception( tmp_err, tmp_stderr, tmp_out, tmp_stdout )
+    imagej2_base_utils.stop_err( error_message )
+# Handle processing errors.
+if os.path.getsize( error_log ) > 0:
+    error_message = open( error_log, 'r' ).read()
+    imagej2_base_utils.stop_err( error_message )
+# Save the output image.
+shutil.move( tmp_output_path, args.output )
+imagej2_base_utils.cleanup_before_exit( tmp_dir )

--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/imagej2_skeletonize3d_jython_script.py	Fri Jul 22 23:17:48 2016 -0400
@@ -0,0 +1,36 @@
+import jython_utils
+import sys
+from ij import IJ
+
+# Fiji Jython interpreter implements Python 2.5 which does not
+# provide support for argparse.
+error_log = sys.argv[ -5 ]
+input = sys.argv[ -4 ]
+black_background = jython_utils.asbool( sys.argv[ -3 ] )
+tmp_output_path = sys.argv[ -2 ]
+output_datatype = sys.argv[ -1 ]
+
+# Open the input image file.
+input_image_plus = IJ.openImage( input )
+
+# Create a copy of the image.
+input_image_plus_copy = input_image_plus.duplicate()
+image_processor_copy = input_image_plus_copy.getProcessor()
+
+try:
+    # Set binary options.
+    options = jython_utils.get_binary_options( black_background=black_background )
+    IJ.run( input_image_plus_copy, "Options...", options )
+
+    # Convert image to binary if necessary.
+    if not image_processor_copy.isBinary():
+        # Convert the image to binary grayscale.
+        IJ.run( input_image_plus_copy, "Make Binary", "" )
+
+    # Run the command.
+    IJ.run( input_image_plus_copy, "Skeletonize (2D/3D)", "" )
+
+    # Save the ImagePlus object as a new image.
+    IJ.saveAs( input_image_plus_copy, output_datatype, tmp_output_path )
+except Exception, e:
+    jython_utils.handle_error( error_log, str( e ) )

--- a/imagej2_smooth.xml	Sun Oct 11 13:31:38 2015 -0400
+++ b/imagej2_smooth.xml	Fri Jul 22 23:17:48 2016 -0400
@@ -10,7 +10,7 @@
     python $__tool_directory__/imagej2_smooth.py
     --input "$input"
     --input_datatype $input.ext
-    --jython_script $__tool_directory__/jython_script.py
+    --jython_script $__tool_directory__/imagej2_smooth_jython_script.py
     --output_datatype $output.ext
     --output "$output"
 ]]>

--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/imagej2_smooth_jython_script.py	Fri Jul 22 23:17:48 2016 -0400
@@ -0,0 +1,25 @@
+import jython_utils
+import sys
+from ij import IJ
+
+# Fiji Jython interpreter implements Python 2.5 which does not
+# provide support for argparse.
+error_log = sys.argv[ -4 ]
+input = sys.argv[ -3 ]
+tmp_output_path = sys.argv[ -2 ]
+output_datatype = sys.argv[ -1 ]
+
+# Open the input image file.
+input_image_plus = IJ.openImage( input )
+
+# Create a copy of the image.
+input_image_plus_copy = input_image_plus.duplicate()
+image_processor_copy = input_image_plus_copy.getProcessor()
+
+try:
+    # Run the command.
+    IJ.run( input_image_plus_copy, "Smooth", "" )
+    # Save the ImagePlus object as a new image.
+    IJ.saveAs( input_image_plus_copy, output_datatype, tmp_output_path )
+except Exception, e:
+    jython_utils.handle_error( error_log, str( e ) )

--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/imagej2_watershed_binary.py	Fri Jul 22 23:17:48 2016 -0400
@@ -0,0 +1,53 @@
+#!/usr/bin/env python
+import argparse
+import os
+import shutil
+import subprocess
+import tempfile
+import imagej2_base_utils
+
+parser = argparse.ArgumentParser()
+parser.add_argument( '--input', dest='input', help='Path to the input file' )
+parser.add_argument( '--input_datatype', dest='input_datatype', help='Datatype of the input image' )
+parser.add_argument( '--black_background', dest='black_background', help='Black background' )
+parser.add_argument( '--jython_script', dest='jython_script', help='Path to the Jython script' )
+parser.add_argument( '--output', dest='output', help='Path to the output file' )
+parser.add_argument( '--output_datatype', dest='output_datatype', help='Datatype of the output image' )
+args = parser.parse_args()
+
+tmp_dir = imagej2_base_utils.get_temp_dir()
+# ImageJ expects valid image file extensions, so the Galaxy .dat extension does not
+# work for some features.  The following creates a symlink with an appropriate file
+# extension that points to the Galaxy dataset.  This symlink is used by ImageJ.
+tmp_input_path = imagej2_base_utils.get_input_image_path( tmp_dir, args.input, args.input_datatype )
+tmp_output_path = imagej2_base_utils.get_temporary_image_path( tmp_dir, args.output_datatype )
+# Define command response buffers.
+tmp_out = tempfile.NamedTemporaryFile().name
+tmp_stdout = open( tmp_out, 'wb' )
+tmp_err = tempfile.NamedTemporaryFile().name
+tmp_stderr = open( tmp_err, 'wb' )
+# Java writes a lot of stuff to stderr, so we'll specify a file for handling actual errors.
+error_log = tempfile.NamedTemporaryFile( delete=False ).name
+# Build the command line.
+cmd = imagej2_base_utils.get_base_command_imagej2( None, jython_script=args.jython_script )
+if cmd is None:
+    imagej2_base_utils.stop_err( "ImageJ not found!" )
+cmd += ' %s' % error_log
+cmd += ' %s' % tmp_input_path
+cmd += ' %s' % args.black_background
+cmd += ' %s' % tmp_output_path
+cmd += ' %s' % args.output_datatype
+# Run the command.
+proc = subprocess.Popen( args=cmd, stderr=tmp_stderr, stdout=tmp_stdout, shell=True )
+rc = proc.wait()
+# Handle execution errors.
+if rc != 0:
+    error_message = imagej2_base_utils.get_stderr_exception( tmp_err, tmp_stderr, tmp_out, tmp_stdout )
+    imagej2_base_utils.stop_err( error_message )
+# Handle processing errors.
+if os.path.getsize( error_log ) > 0:
+    error_message = open( error_log, 'r' ).read()
+    imagej2_base_utils.stop_err( error_message )
+# Save the output image.
+shutil.move( tmp_output_path, args.output )
+imagej2_base_utils.cleanup_before_exit( tmp_dir )

--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/imagej2_watershed_binary_jython_script.py	Fri Jul 22 23:17:48 2016 -0400
@@ -0,0 +1,36 @@
+import jython_utils
+import sys
+from ij import IJ
+
+# Fiji Jython interpreter implements Python 2.5 which does not
+# provide support for argparse.
+error_log = sys.argv[ -5 ]
+input = sys.argv[ -4 ]
+black_background = jython_utils.asbool( sys.argv[ -3 ] )
+tmp_output_path = sys.argv[ -2 ]
+output_datatype = sys.argv[ -1 ]
+
+# Open the input image file.
+input_image_plus = IJ.openImage( input )
+
+# Create a copy of the image.
+input_image_plus_copy = input_image_plus.duplicate()
+image_processor_copy = input_image_plus_copy.getProcessor()
+
+try:
+    # Set binary options.
+    options = jython_utils.get_binary_options( black_background=black_background )
+    IJ.run( input_image_plus_copy, "Options...", options )
+
+    # Convert image to binary if necessary.
+    if not image_processor_copy.isBinary():
+        # Convert the image to binary grayscale.
+        IJ.run( input_image_plus_copy, "Make Binary", "" )
+
+    # Run the command.
+    IJ.run( input_image_plus_copy, "Watershed", "" )
+
+    # Save the ImagePlus object as a new image.
+    IJ.saveAs( input_image_plus_copy, output_datatype, tmp_output_path )
+except Exception, e:
+    jython_utils.handle_error( error_log, str( e ) )

--- a/jython_script.py	Sun Oct 11 13:31:38 2015 -0400
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,25 +0,0 @@
-import jython_utils
-import sys
-from ij import IJ
-
-# Fiji Jython interpreter implements Python 2.5 which does not
-# provide support for argparse.
-error_log = sys.argv[ -4 ]
-input = sys.argv[ -3 ]
-tmp_output_path = sys.argv[ -2 ]
-output_datatype = sys.argv[ -1 ]
-
-# Open the input image file.
-input_image_plus = IJ.openImage( input )
-
-# Create a copy of the image.
-input_image_plus_copy = input_image_plus.duplicate()
-image_processor_copy = input_image_plus_copy.getProcessor()
-
-try:
-    # Run the command.
-    IJ.run( input_image_plus_copy, "Smooth", "" )
-    # Save the ImagePlus object as a new image.
-    IJ.saveAs( input_image_plus_copy, output_datatype, tmp_output_path )
-except Exception, e:
-    jython_utils.handle_error( error_log, str( e ) )

--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/readme.md	Fri Jul 22 23:17:48 2016 -0400
@@ -0,0 +1,120 @@
+Galaxy wrappers for ImageJ2 tools
+==================================
+
+ImageJ2 is a new version of ImageJ for the next generation of multidimensional image data, with a focus on scientific imaging. Its central goal is to broaden the paradigm of ImageJ beyond the limitations of ImageJ 1.x, to support the next generation of multidimensional scientific imaging.
+
+Fiji is an image processing package. It can be described as a "batteries-included" distribution of ImageJ (and ImageJ2), bundling Java, Java3D and a lot of plugins organized into a coherent menu structure. Fiji compares to ImageJ as Ubuntu compares to Linux.
+
+More informations is available at:
+
+* [http://fiji.sc/ImageJ2](http://fiji.sc/ImageJ2)
+* [http://fiji.sc/Fiji](http://fiji.sc/Fiji)
+
+
+Installation
+============
+
+Galaxy tool wrappers use specified Fiji Lifeline versions available from [http://fiji.sc/Downloads](http://fiji.sc/Downloads).  Galaxy should be able to automatically install this package.
+
+The wrappers are available at [https://github.com/bgruening/galaxytools/tree/master/tools/image_processing/imagej2](https://github.com/bgruening/galaxytools/tree/master/tools/image_processing/imagej2).
+
+
+Use Docker
+==========
+
+A docker image that installs Galaxy with these imaging tools is available at [https://github.com/bgruening/galaxy-imaging](https://github.com/bgruening/galaxy-imaging).
+
+
+Using Fiji with Galaxy tools
+============================
+
+Galaxy ImageJ2 tool wrappers generate a command line that calls a Python script, passing it a series of arguments including a Jython script named jython_script.py that resides in the same directory as the tool wrapper.  During tool execution, the Python script will call ImageJ2 with the --headless argument to run without the ImageJ2 GUI.  The Jython script is also passed to ImageJ2 along with all command line arguments that it expects.  ImageJ2 will execute the Jython script, passing the expected arguments.  The command line to run ImageJ2 from a Galaxy tool wrapper looks something like this:
+
+`ImageJ2 --ij2 --headless --jython ~jython_script.py arg1, arg2, ...`
+
+Each tool execution starts the ImageJ2 application within a Java virtual machine (JVM).  When ImageJ2 is finished processing the Jython script, the results are either written to a file or returned to the calling Galaxy process.  The JVM is shut down, and the Galaxy job terminates.  This approach provides the ability to run ImageJ2 tools from Galaxy on any supported HPC environment.
+
+Of course, eliminating the ImageJ2 GUI restricts us to wrapping only those ImageJ2 plugins that do not require any GUI components (i.e., the ImageJ2 window manager).  Plugins are written by an open community, so not all of them are written in such a way that they can be executed from the command line and produce useful results.  For example, some plugins create one or more images that can only be accessed via calls to the ImageJ2 window manager, and running in headless mode eliminates the window manager as well as other GUI components.
+
+Those familiar with ImageJ2 will find differences with this general pattern for executing ImageJ2 tools within Galaxy.  ImageJ2 accounts for user defined global preferences which are available to tools throughout the session, and an image can be uploaded and run through any number of available tools, saving only the final image.  While Galaxy currently does not account for user preferences defined in ImageJ2, enhancements to the Galaxy framework are planned that will accomodate these kinds of settings (e.g., binary image options).  Also, since Galaxy initiates a new ImageJ2 session with each tool execution, initial images are uploaded to ImageJ2 and resulting images are saved for each tool execution.
+
+The Galaxy ImageJ2 tools currently fall into the following categories.  Additional tools will be added at a steady pace.
+
+Working with Pixels
+===================
+These Galaxy tools wrap the ImageJ2 plugins that are available in the ImageJ2 Process → Math menu.
+
+* **Operate on pixels** - Applies a mathematical expression (add, subtract, multiply, etc.) to each pixel in the image.  When the resulting pixel value overflows/underflows the legal range of the image's data type, the value is reset to the maximum/minimum value.
+
+Filters and Effects
+===================
+These Galaxy tools wrap the ImageJ2 plugins that are available in the ImageJ2 Process menu.
+
+* **Smooth** - Blurs the image by replacing each pixel with the average of its 3x3 neighborhood.
+* **Sharpen** - Increases contrast and accentuates detail in the image, but may also accentuate noise.
+* **Find Edges** - Uses a Sobel edge detector to highlight sharp changes in intensity in the active image.
+* **Add shadow effect** - Produces a shadow effect, with light appearing to come from the selected direction (East, North, Northeast, Northwest, South, Southeast, Southwest and West).
+* **Find Maxima** - Determines the local maxima in an image and creates a binary (mask-like) image of the same size with the maxima (or one segmented particle per maximum) marked.
+* **Enhance contrast** - Enhances image contrast by using either normalization (contrast stretching) or histogram equalization.
+* **Add or remove noise** - Adds specified noise to or removes noise from images.
+
+Binary Image Tools
+==================
+These Galaxy tools wrap the ImageJ2 plugins that are available in the ImageJ2 Process → Binary menu.
+
+* **Convert to binary** - Converts an image into a binary (black and white) image.
+* **Adjust threshold** - Sets lower and upper threshold values, segmenting grayscale images into
+features of interest and background.
+* **Watershed segmentation** - Automatically separates or cuts apart particles that touch.
+* **Analyze particles** - Analyzes the particles in a segmented binary image, providing information about
+each particle in the image.
+* **Skeletonize images** - Uses the Skeletonize3D plugin to find the centerlines (”skeleton”) of objects in the input image.  Skeletonize3d is a plugin written by Ignacio Arganda-Carreras that offers several advantages over the legacy skeletonization algorithm of ImageJ available in the Process → Binary → Skeletonize menu item.  Skeletonize works only with binary 2D images.  Skeletonize3D works with 8-bit 2D images and stacks, expecting the image to be binary. If not, Skeletonize3D considers all pixel values above 0 to be white (255).  While Skeletonize↑ relies on Black background value, the output of Skeletonize3D always has a value of 255 at the skeleton and 0 at background pixels, independently of the Black background option.
+* **Analyze skeleton** - Tags all pixel/voxels in a skeleton image and then counts all its junctions,
+triple and quadruple points and branches, and measures their average and maximum length.
+* **Convert binary image to EDM** - Converts a binary image into a 8-bit grayscale Euclidean Distance Map (EDM). Each foreground (nonzero) pixel in the binary image is assigned a value equal to its distance from the nearest background (zero) pixel.
+
+**Interpreting binary Images in ImageJ2**
+
+Binary images are thresholded to only two values, typically 0 and 1, but often — as with ImageJ — 0 and 255, that represent black and white on an 8-bit scale.
+
+The interpretation of binary images is not universal. While some software packages will always perform binary operations on 255 values (or 1, or any non-zero value), ImageJ takes into account the foreground and background colors of the binary image.
+
+In ImageJ, the **Black background** global preference setting defines not only how new binary images will be created, but also how previously created images are interpreted. This means objects will be inferred on a image-per-image basis.  As such, inverting the LUT (i.e., pixels with a value of zero are white and pixels with a value 255 are black) of a binary image without updating the black background option may lead to unexpected results.  This issue can currently be avoided by properly selecting the **Black background** option available on all Galaxy binary image tools.
+
+BunwarpJ Plugin Tools
+=====================
+These Galaxy tools wrap the bUnwarpJ plugin [http://fiji.sc/BUnwarpJ](http://fiji.sc/BUnwarpJ).
+
+* **Adapt an elastic transformation** - Adapts an elastic transformation to a new image size by transforming the
+coefficients of a specified elastic transformation according to a real image factor.
+* **Align two images** - Performs a simultaneous registration of two images, A and B. Image A is elastically deformed
+in order to look as similar as possible to image B, and, at the same time, the "inverse"
+transformation (from B to A) is also calculated so a pseudo-invertibility of the final deformation
+could be guaranteed.  Two images are produced: the deformed versions of A and B images.
+* **Compare opposite elastic deformations** - Calculates the warping index of two opposite elast transformations, i.e. the average of the geometrical distance between every pixel and its version after applying both transformations (direct and inverse).
+* **Compare elastic and raw deformation** - Calculates the warping index of an elastic transformation and a raw transformation.
+* **Compare two raw deformations** - Calculates the warping index of two raw transformations (same direction).
+* **Compose two elastic transformations** - Composes two elastic transformations into a raw transformation.
+* **Compose two raw transformations** - Composes two raw transformations into another raw transformation.
+* **Compose a raw and an elastic transformation** - Composes a raw transformation and an elastic transformation
+into a raw transformation.
+* **Convert elastic transformation to raw** - Converts an elastic (i.e., B-spline ) transformation file into a raw transformation file.
+* **Apply elastic transformation** - Applies an elastic transformation to an image, producing another image which is elastically
+deformed according to the transformation.
+* **Apply raw transformation** - Applies a raw transformation to an image, producing another image which is deformed according
+to the transformation.
+
+Other Tools
+===========
+* **Create new image** - Creates a new image of a selected type, size, depth and format.
+* **Convert image format** - Converts the format of an input image file, producing an output image.
+
+Licence
+=======
+
+Fiji is released as open source under the GNU General Public License: [http://www.gnu.org/licenses/gpl.html](http://www.gnu.org/licenses/gpl.html)
+
+Fiji builds on top of the ImageJ2 core, which is licensed under the permissive BSD 2-Clause license: [http://opensource.org/licenses/BSD-2-Clause](http://opensource.org/licenses/BSD-2-Clause)
+
+Plugins and other components have their own licenses.
+

Binary file static/images/bunwarpj_scheme.png has changed

--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/adapted_transformation.txt	Fri Jul 22 23:17:48 2016 -0400
@@ -0,0 +1,19 @@
+Intervals=4
+
+X Coeffs -----------------------------------
+   -68.29963348573138      6.09891156458193     86.04636146560719    144.15883318797628     222.6696172662024     268.5404350984771     343.4809799392515 
+   -92.95121961304761    -67.45715815993698    143.50575117781833    62.998765943058025    252.61006839164767    202.85004026282823    343.88011158248645 
+  -114.08988861905392    -50.28935338868982    154.73714798414153    46.236046344928994     317.7204399309421     232.5473632739255    236.18435318252722 
+   -49.95152093578042     46.79194413194805    115.19181925394176     60.96381027087762     281.3153521889087     291.7178589619469     452.4904614548126 
+    73.55144122157424    -6.541542793976486     49.97773968946636     221.5030295518829    147.88587300058802     244.8527371774712      571.206841600859 
+    3.646742451744383   -1.0493193936656087     56.57596119023832    190.93096587415607    112.68058954356229    335.16742699073444     386.4422448318592 
+   -67.76235298556266    15.800694750545997     83.20669583960863     144.2221864204297    222.11699443245232    296.32098085726716    363.03338579932324 
+
+Y Coeffs -----------------------------------
+   -65.99749871290987    -9.591489676218258    -41.92225681716366     202.2261719418278    -23.43501111052179    -85.31960816550834    -82.69756041558864 
+    25.10444047741359    107.12934280473927   -19.885529027870003    110.16177327599405    -24.29943796825228   -126.26092722044824   -15.293615819389508 
+   40.156742347611505    21.783233700091298     -41.1253303256154    3.9501977773581927       -5.163575790747    -3.892713343168175     130.5295511257574 
+    159.0282953843482     231.2316671653832    158.21003956141615     180.6582006949143    334.45269408769667     36.91708435716871    178.65545798222203 
+    243.6910761415873    245.76958262175916    45.236448264092026    218.27338857363276    206.61634624583974    211.89841321823954    226.54058409965276 
+    281.1737518449535     242.4997154114523    357.14765868596385    297.59578390007414    297.04014457397227    321.01360259436655     292.2111361369053 
+   351.02383407086694     349.8456304498878    346.63350353932935    362.39036869941975    338.17045368933424    354.76997587815237    371.71121748122135 

Binary file test-data/add_specified_noise.gif has changed

Binary file test-data/analyze_particles_masks.gif has changed

--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/analyze_particles_nothing.tabular	Fri Jul 22 23:17:48 2016 -0400
@@ -0,0 +1,48 @@
+ 	Area	Mean	Min	Max
+1	86	0	0	0
+2	72	0	0	0
+3	25	0	0	0
+4	85	0	0	0
+5	157	0	0	0
+6	207	0	0	0
+7	29	0	0	0
+8	73	0	0	0
+9	143	0	0	0
+10	125	0	0	0
+11	159	0	0	0
+12	133	0	0	0
+13	85	0	0	0
+14	51	0	0	0
+15	133	0	0	0
+16	133	0	0	0
+17	81	0	0	0
+18	88	0	0	0
+19	212	0	0	0
+20	116	0	0	0
+21	172	0	0	0
+22	103	0	0	0
+23	4	0	0	0
+24	60	0	0	0
+25	198	0	0	0
+26	187	0	0	0
+27	80	0	0	0
+28	75	0	0	0
+29	103	0	0	0
+30	52	0	0	0
+31	122	0	0	0
+32	129	0	0	0
+33	77	0	0	0
+34	171	0	0	0
+35	117	0	0	0
+36	207	0	0	0
+37	119	0	0	0
+38	181	0	0	0
+39	49	0	0	0
+40	150	0	0	0
+41	191	0	0	0
+42	170	0	0	0
+43	174	0	0	0
+44	270	0	0	0
+45	87	0	0	0
+46	69	0	0	0
+47	1	0	0	0

Binary file test-data/analyze_particles_outlines.gif has changed

--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/basic.tabular	Fri Jul 22 23:17:48 2016 -0400
@@ -0,0 +1,2 @@
+# Branches	Junctions	End-point Voxels	Junction Voxels	Slab Voxels	Average branch length	Triple Points	Quadruple Points	Maximum Branch Length
+96	60	7	120	1246	17.344	56	3	70.882

Binary file test-data/blobs_black_edm.gif has changed

--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/blobs_count.tabular	Fri Jul 22 23:17:48 2016 -0400
@@ -0,0 +1,2 @@
+ 	Count
+1	112

--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/blobs_direct_transf.txt	Fri Jul 22 23:17:48 2016 -0400
@@ -0,0 +1,19 @@
+Intervals=4
+
+X Coeffs -----------------------------------
+   -34.14981674286569     3.144052189417975     44.74398427283767     72.62900018057132     111.3348086331012    134.27021754923854    171.74048996962574 
+  -46.475609806523806    -28.37507243951631     71.19906566193379     30.10778479539863    122.71885776990422     109.9563576074076    171.94005579124322 
+   -57.04494430952696    1.8032931596380026    61.404945193416715     42.75919945626539     148.2715738833391    126.39195563069309     116.8758739961032 
+   -26.50696765072751    24.133275156317662     45.18779137671111     49.91727740928712     130.5425749032711    160.35055773949284     186.2385413131219 
+    30.36695633747302    -3.333376652604397    35.957597759623795      86.8060703274396     102.5208634329241      126.298277744805     243.1342175649626 
+   -2.831201175463878    -4.836159041803193    36.263197544298954     77.65977608215381     98.47306066697166    149.98143182373533    193.72941653859635 
+   -33.88117649278133    7.9003473752729985    41.603347919804314     72.11109321021485    111.05849721622616    148.16049042863358    181.51669289966162 
+
+Y Coeffs -----------------------------------
+   -32.99874935645494   -10.853014366833959    -18.11337422707787    120.45933796140201   -11.717505555260894    -42.65980408275417    -41.34878020779432 
+   11.306632136922623     42.01572254879719   -18.137465736571315     41.67904406737918       -9.059457409112    -63.14804168936847    -7.646807909694754 
+   20.638424092275454    35.302620259132304    1.8587715711200654     2.065183621887666     13.47064662534885     8.966817348422527     65.74329336525717 
+    79.92027086396175    117.61262084713007      78.2409336472003     102.3526144171297     97.29273111510625     48.80095761073018     89.32772899111102 
+    121.0699654326738    114.38154300759474     23.57251043213103    101.87328690674049    115.94282218472065    106.18526585145909    111.14979545782822 
+   140.58687592247674    130.54971240393465    177.05271414686374    150.48052118800214    150.41722526235608     156.3116913517668    146.21075369002716 
+   175.51191703543347     174.9228152249439    173.31675176966468    181.87538254503764    170.81399893021742    186.14994867024973    185.85560874061068 

Binary file test-data/blobs_edm.gif has changed

Binary file test-data/blobs_equalize.gif has changed

Binary file test-data/blobs_find_edges.gif has changed

--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/blobs_list.tabular	Fri Jul 22 23:17:48 2016 -0400
@@ -0,0 +1,113 @@
+ 	X	Y
+1	95	8
+2	107	24
+3	10	25
+4	34	16
+5	2	20
+6	118	11
+7	19	10
+8	132	0
+9	124	143
+10	130	139
+11	142	126
+12	140	108
+13	125	99
+14	133	80
+15	30	65
+16	46	52
+17	42	41
+18	116	34
+19	24	36
+20	136	33
+21	50	29
+22	86	29
+23	125	23
+24	143	23
+25	71	10
+26	39	8
+27	105	5
+28	5	3
+29	23	0
+30	2	0
+31	114	141
+32	31	140
+33	112	136
+34	20	133
+35	125	122
+36	28	116
+37	110	109
+38	54	105
+39	15	101
+40	142	95
+41	96	93
+42	4	88
+43	112	91
+44	86	91
+45	58	90
+46	42	90
+47	76	77
+48	102	84
+49	44	81
+50	29	75
+51	41	73
+52	57	73
+53	0	72
+54	118	66
+55	44	68
+56	16	60
+57	67	64
+58	125	63
+59	85	63
+60	108	62
+61	88	49
+62	122	47
+63	97	48
+64	64	43
+65	143	47
+66	28	44
+67	85	46
+68	1	44
+69	14	42
+70	127	40
+71	63	36
+72	93	28
+73	60	28
+74	23	26
+75	73	23
+76	62	24
+77	142	18
+78	49	15
+79	77	3
+80	101	1
+81	95	1
+82	95	140
+83	83	138
+84	69	139
+85	68	126
+86	6	133
+87	70	135
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--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/composed_raw_transformation.txt	Fri Jul 22 23:17:48 2016 -0400
@@ -0,0 +1,294 @@
+Width=144
+Height=144
+
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