annotate unmicst.xml @ 1:74fe58ff55a5 draft default tip

planemo upload for repository https://github.com/HMS-IDAC/UnMicst commit e14f76a8803cab0013c6dbe809bc81d7667f2ab9
author goeckslab
date Wed, 07 Sep 2022 23:10:14 +0000
parents 6bec4fef6b2e
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1 <tool id="unmicst" name="UnMicst" version="@TOOL_VERSION@+galaxy@VERSION_SUFFIX@" profile="19.01">
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2 <description>Image segmentation - probability map generation</description>
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3
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4 <macros>
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5 <import>macros.xml</import>
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6 </macros>
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7
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8 <expand macro="requirements"/>
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9 <expand macro="version_cmd"/>
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10
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11 <command detect_errors="exit_code"><![CDATA[
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74fe58ff55a5 planemo upload for repository https://github.com/HMS-IDAC/UnMicst commit e14f76a8803cab0013c6dbe809bc81d7667f2ab9
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12 #set $ext = str($image.file_ext)
74fe58ff55a5 planemo upload for repository https://github.com/HMS-IDAC/UnMicst commit e14f76a8803cab0013c6dbe809bc81d7667f2ab9
goeckslab
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13 #if $ext == 'tiff'
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14 #set $ext = 'tif'
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15 #end if
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16 #set $input = 'image.' + str($ext)
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17
1
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18 ln -s '$image' '$input' &&
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20 @CMD_BEGIN@ '$input'
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21
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22 --tool $tool
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24 #if $stackoutput
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25 --stackOutput
0
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26 #end if
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27
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28 --outputPath '.'
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29 --channel $channel
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30 --model $model
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31 --mean $mean
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32 --std $stdev
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33 --scalingFactor $scalingfactor
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34 --outlier $outlier &&
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35
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36 ## Move files to different files for from_work_dir differentiation
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37 #if $stackoutput
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38 mv *Probabilities*.tif Probabilities.tif &&
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39 mv qc/*Preview*.tif Preview.tif
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40 #else
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41 mv *ContoursPM*.tif ContoursPM.tif &&
74fe58ff55a5 planemo upload for repository https://github.com/HMS-IDAC/UnMicst commit e14f76a8803cab0013c6dbe809bc81d7667f2ab9
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42 mv *NucleiPM*.tif NucleiPM.tif
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43 #end if
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44 ]]></command>
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45
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46 <inputs>
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47 <param name="tool" type="select" label="UnMicst Tool">
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48 <option selected="true" value="unmicst-solo">unmicst-solo</option>
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49 <option value="unmicst-duo">unmicst-duo</option>
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50 <option value="unmicst-legacy">unmicst-legacy</option>
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51 <option value="UnMicstCyto2">UnMicstCyto2</option>
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52 </param>
0
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53 <param name="image" type="data" format="tiff" label="Registered TIFF"/>
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54 <param name="model" type="select" label="Model">
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55 <option value="nucleiDAPI">nucleiDAPI</option>
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56 <option value="CytoplasmIncell">CytoplasmIncell</option>
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57 <option value="CytoplasmIncell2">CytoplasmIncell2</option>
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58 <option value="CytoplasmZeissNikon">CytoplasmZeissNikon</option>
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59 <option value="mousenucleiDAPI">mousenucleiDAPI</option>
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60 <option value="nucleiDAPI1-5">nucleiDAPI1-5</option>
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61 <option value="nucleiDAPILAMIN">nucleiDAPILAMIN</option>
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62 </param>
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63 <param name="mean" type="float" value="-1" label="Mean (-1 for model default)"/>
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64 <param name="stdev" type="float" value="-1" label="Standard Deviation (-1 for model default)"/>
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65 <param name="channel" type="integer" value="0" label="Channel to perform inference on"/>
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66 <param name="stackoutput" type="boolean" label="Stack probability map outputs"/>
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67 <param name="scalingfactor" type="float" value="1.0" label="Factor to scale by"/>
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68 <param name="outlier" type="float" value="-1.0" label="Map percentile intensity to max when rescaling intensity values"/>
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69 </inputs>
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70
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71 <outputs>
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72 <data format="tiff" name="previews" from_work_dir="Preview.tif" label="${tool.name} on ${on_string}: Preview">
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73 <filter>stackoutput</filter>
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74 </data>
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75 <data format="tiff" name="probabilities" from_work_dir="Probabilities.tif" label="${tool.name} on ${on_string}: Probabilities">
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76 <filter>stackoutput</filter>
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77 </data>
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78 <data format="tiff" name="contours" from_work_dir="ContoursPM.tif" label="${tool.name} on ${on_string}: ContoursPM">
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79 <filter>not stackoutput</filter>
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80 </data>
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81 <data format="tiff" name="nuclei" from_work_dir="NucleiPM.tif" label="${tool.name} on ${on_string}: NucleiPM">
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82 <filter>not stackoutput</filter>
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83 </data>
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84 </outputs>
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85 <tests>
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86 <test expect_num_outputs="2">
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87 <param name="image" value="105.tif" ftype="tiff" />
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88 <param name="model" value="nucleiDAPI" />
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89 <param name="tool" value="unmicst-legacy"/>
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90 <param name="channel" value="1"/>
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91 <output name="nuclei" file="105_NucleiPM_1.tif" compare="sim_size" delta="10" />
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92 <output name="contours" file="105_ContoursPM_1.tif" compare="sim_size" delta="10" />
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93 </test>
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94 </tests>
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95 <help><![CDATA[
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96 -------
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97 UNMICST
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98 -------
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99
1
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100 **UnMICST** uses a convolutional neural network to annotate each pixel with the probability that it belongs to a given subcellular component (nucleus, cytoplasm, cell boundary). Check the UnMICST website for the most up-to-date documentation.
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101 **Input**
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102 An .ome.tif, preferably flat field corrected. The model is trained on images acquired at a pixelsize of 0.65 microns/px. If your settings differ, you can upsample/downsample to some extent.
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103 **Output**
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104 1. a .tif stack where the different probability maps for each class are concatenated in the Z-axis in the order: nuclei foreground, nuclei contours, and background.
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105 2. a QC image with the DNA image concatenated with the nuclei contour probability map with suffix Preview
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106 More infortion available at: https://labsyspharm.github.io/UnMICST-info/.
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107 ]]></help>
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108 <expand macro="citations" />
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109 </tool>