annotate imagej2_analyze_particles_binary_jython_script.py @ 1:4c43ba752312 draft

"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/image_processing/imagej2 commit 2afb24f3c81d625312186750a714d702363012b5"
author imgteam
date Mon, 28 Sep 2020 16:38:24 +0000
parents a84f2cbf091b
children 49e29abe0fce
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a84f2cbf091b "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/image_processing/imagej2 commit b08f0e6d1546caaf627b21f8c94044285d5d5b9c-dirty"
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1 import sys
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3 from ij import IJ
a84f2cbf091b "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/image_processing/imagej2 commit b08f0e6d1546caaf627b21f8c94044285d5d5b9c-dirty"
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4 from ij.plugin.filter import Analyzer
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7 OPTIONS = ['edm=Overwrite', 'iterations=1', 'count=1']
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9 # Fiji Jython interpreter implements Python 2.5 which does not
a84f2cbf091b "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/image_processing/imagej2 commit b08f0e6d1546caaf627b21f8c94044285d5d5b9c-dirty"
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10 # provide support for argparse.
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11 error_log = sys.argv[-14]
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12 input_file = sys.argv[-13]
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13 black_background = sys.argv[-12] == "yes"
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14 size = sys.argv[-11]
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15 circularity_min = float(sys.argv[-10])
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16 circularity_max = float(sys.argv[-9])
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17 show = sys.argv[-8]
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18 display_results = sys.argv[-7] == "yes"
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19 all_results = sys.argv[-6] == "yes"
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20 exclude_edges = sys.argv[-5] == "yes"
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21 include_holes = sys.argv[-4] == "yes"
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22 output_filename = sys.argv[-3]
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23 output_datatype = sys.argv[-2]
4c43ba752312 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/image_processing/imagej2 commit 2afb24f3c81d625312186750a714d702363012b5"
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24 results_path = sys.argv[-1]
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26 # Open the input image file.
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27 input_image_plus = IJ.openImage(input_file)
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29 # Create a copy of the image.
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30 input_image_plus_copy = input_image_plus.duplicate()
a84f2cbf091b "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/image_processing/imagej2 commit b08f0e6d1546caaf627b21f8c94044285d5d5b9c-dirty"
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31 image_processor_copy = input_image_plus_copy.getProcessor()
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32 analyzer = Analyzer(input_image_plus_copy)
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33
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34 # Set binary options.
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35 options_list = OPTIONS
4c43ba752312 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/image_processing/imagej2 commit 2afb24f3c81d625312186750a714d702363012b5"
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36 if black_background:
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37 options_list.append("black")
4c43ba752312 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/image_processing/imagej2 commit 2afb24f3c81d625312186750a714d702363012b5"
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38 options = " ".join(options_list)
4c43ba752312 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/image_processing/imagej2 commit 2afb24f3c81d625312186750a714d702363012b5"
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39 IJ.run(input_image_plus_copy, "Options...", options)
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40
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41 if not image_processor_copy.isBinary():
4c43ba752312 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/image_processing/imagej2 commit 2afb24f3c81d625312186750a714d702363012b5"
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42 # Convert the image to binary grayscale.
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43 IJ.run(input_image_plus_copy, "Make Binary", "")
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44
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45 # Set the options.
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46 options = ['size=%s' % size]
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47 circularity_str = '%.3f-%.3f' % (circularity_min, circularity_max)
4c43ba752312 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/image_processing/imagej2 commit 2afb24f3c81d625312186750a714d702363012b5"
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48 options.append('circularity=%s' % circularity_str)
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49 if show.find('_') >= 0:
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50 show_str = '[%s]' % show.replace('_', ' ')
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51 else:
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52 show_str = show
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53 options.append('show=%s' % show_str)
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54 if display_results:
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55 options.append('display')
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56 if not all_results:
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57 options.append('summarize')
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58 if exclude_edges:
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59 options.append('exclude')
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60 if include_holes:
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61 options.append('include')
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62 # Always run "in_situ".
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63 options.append('in_situ')
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64
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65 # Run the command.
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66 IJ.run(input_image_plus_copy, "Analyze Particles...", " ".join(options))
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67
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68 # Save outputs.
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69 if len(output_filename) > 0:
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70 # Save the ImagePlus object as a new image.
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71 IJ.saveAs(input_image_plus_copy, output_datatype, output_filename)
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72 if display_results and len(results_path) > 0:
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73 results_table = analyzer.getResultsTable()
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74 results_table.saveAs(results_path)