Mercurial > repos > bgruening > cp_relate_objects

comparison test-data/measure_object_size_shape.txt @ 0:3a2cfcd7c38a draft

Find changesets by keywords (author, files, the commit message), revision number or hash, or revset expression.
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools commit 6d73056a625002d0275b5a9a90a9fae329ce47f1"
author bgruening
date Thu, 26 Mar 2020 17:44:27 -0400
parents
children f9969a97f034
comparison
equal deleted inserted replaced
-1:000000000000 0:3a2cfcd7c38a
1 CellProfiler Pipeline: http://www.cellprofiler.org
2 Version:3
3 DateRevision:319
4 GitHash:
5 ModuleCount:5
6 HasImagePlaneDetails:False
7
8 Images:[module_num:1|svn_version:\'Unknown\'|variable_revision_number:2|show_window:False|notes:\x5B\'To begin creating your project, use the Images module to compile a list of files and/or folders that you want to analyze. You can also specify a set of rules to include only the desired files in your selected folders.\']|batch_state:array([], dtype=uint8)|enabled:True|wants_pause:False]
9 :
10 Filter images?:Images only
11 Select the rule criteria:and (extension does isimage) (directory doesnot startwith ".")
12
13 Metadata:[module_num:2|svn_version:\'Unknown\'|variable_revision_number:4|show_window:False|notes:\x5B\'The Metadata module optionally allows you to extract information describing your images (i.e, metadata) which will be stored along with your measurements. This information can be contained in the file name and/or location, or in an external file.\']|batch_state:array([], dtype=uint8)|enabled:True|wants_pause:False]
14 Extract metadata?:Yes
15 Metadata data type:Text
16 Metadata types:{}
17 Extraction method count:1
18 Metadata extraction method:Extract from file/folder names
19 Metadata source:File name
20 Regular expression to extract from file name:(?P<field1>.*)_(?P<field2>[a-zA-Z0-9]+)_(?P<field3>[a-zA-Z0-9]+)_(?P<field4>[a-zA-Z0-9]+)
21 Regular expression to extract from folder name:(?P<Date>[0-9]{4}_[0-9]{2}_[0-9]{2})$
22 Extract metadata from:All images
23 Select the filtering criteria:and (file does contain "")
24 Metadata file location:
25 Match file and image metadata:[]
26 Use case insensitive matching?:No
27
28 NamesAndTypes:[module_num:3|svn_version:\'Unknown\'|variable_revision_number:8|show_window:False|notes:\x5B\'The NamesAndTypes module allows you to assign a meaningful name to each image by which other modules will refer to it.\'\x5D|batch_state:array(\x5B\x5D, dtype=uint8)|enabled:True|wants_pause:False]
29 Assign a name to:Images matching rules
30 Select the image type:Grayscale image
31 Name to assign these images:DNA
32 Match metadata:[]
33 Image set matching method:Order
34 Set intensity range from:Image metadata
35 Assignments count:1
36 Single images count:0
37 Maximum intensity:255.0
38 Process as 3D?:No
39 Relative pixel spacing in X:1.0
40 Relative pixel spacing in Y:1.0
41 Relative pixel spacing in Z:1.0
42 Select the rule criteria:and (file does startwith "im")
43 Name to assign these images:DNA
44 Name to assign these objects:Cell
45 Select the image type:Grayscale image
46 Set intensity range from:Image metadata
47 Select the image type:Grayscale image
48 Maximum intensity:255.0
49
50 Groups:[module_num:4|svn_version:\'Unknown\'|variable_revision_number:2|show_window:False|notes:\x5B\'The Groups module optionally allows you to split your list of images into image subsets (groups) which will be processed independently of each other. Examples of groupings include screening batches, microtiter plates, time-lapse movies, etc.\'\x5D|batch_state:array(\x5B\x5D, dtype=uint8)|enabled:True|wants_pause:False]
51 Do you want to group your images?:Yes
52 grouping metadata count:1
53 Metadata category:Screen
54
55 MeasureObjectSizeShape:[module_num:5|svn_version:\'Unknown\'|variable_revision_number:1|show_window:False|notes:\x5B\x5D|batch_state:array(\x5B\x5D, dtype=uint8)|enabled:True|wants_pause:False]
56 Select objects to measure:Nuclei
57 Select objects to measure:Nucleoli
58 Calculate the Zernike features?:Yes