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171 lines (161 loc) · 8.6 KB
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CellProfiler Pipeline: http://www.cellprofiler.org
Version:5
DateRevision:425
GitHash:
ModuleCount:10
HasImagePlaneDetails:False
Images:[module_num:1|svn_version:'Unknown'|variable_revision_number:2|show_window:False|notes:['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]
:
Filter images?:No filtering
Select the rule criteria:and (file does contain "cr_w_pools")
Metadata:[module_num:2|svn_version:'Unknown'|variable_revision_number:6|show_window:False|notes:['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]
Extract metadata?:Yes
Metadata data type:Choose for each
Metadata types:{}
Extraction method count:1
Metadata extraction method:Extract from file/folder names
Metadata source:File name
Regular expression to extract from file name:^(?P<species>.*)_pools_slide1_(?P<poolid>.*)_Probabilities
Regular expression to extract from folder name:(?P<Date>[0-9]{4}_[0-9]{2}_[0-9]{2})$
Extract metadata from:All images
Select the filtering criteria:and (file does contain "")
Metadata file location:Elsewhere...|
Match file and image metadata:[]
Use case insensitive matching?:No
Metadata file name:None
Does cached metadata exist?:No
NamesAndTypes:[module_num:3|svn_version:'Unknown'|variable_revision_number:8|show_window:False|notes:['The NamesAndTypes module allows you to assign a meaningful name to each image by which other modules will refer to it.']|batch_state:array([], dtype=uint8)|enabled:True|wants_pause:False]
Assign a name to:All images
Select the image type:Color image
Name to assign these images:pool
Match metadata:[]
Image set matching method:Order
Set intensity range from:Image bit-depth
Assignments count:1
Single images count:0
Maximum intensity:255.0
Process as 3D?:No
Relative pixel spacing in X:1.0
Relative pixel spacing in Y:1.0
Relative pixel spacing in Z:1.0
Select the rule criteria:and (file does contain "")
Name to assign these images:DNA
Name to assign these objects:Cell
Select the image type:Grayscale image
Set intensity range from:Image metadata
Maximum intensity:255.0
Groups:[module_num:4|svn_version:'Unknown'|variable_revision_number:2|show_window:False|notes:['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.']|batch_state:array([], dtype=uint8)|enabled:True|wants_pause:False]
Do you want to group your images?:Yes
grouping metadata count:2
Metadata category:species
Metadata category:poolid
ColorToGray:[module_num:5|svn_version:'Unknown'|variable_revision_number:4|show_window:False|notes:[]|batch_state:array([], dtype=uint8)|enabled:True|wants_pause:False]
Select the input image:pool
Conversion method:Split
Image type:RGB
Name the output image:OrigGray
Relative weight of the red channel:1.0
Relative weight of the green channel:1.0
Relative weight of the blue channel:1.0
Convert red to gray?:Yes
Name the output image:chlamy_prob
Convert green to gray?:No
Name the output image:OrigGreen
Convert blue to gray?:No
Name the output image:OrigBlue
Convert hue to gray?:Yes
Name the output image:OrigHue
Convert saturation to gray?:Yes
Name the output image:OrigSaturation
Convert value to gray?:Yes
Name the output image:OrigValue
Channel count:1
Channel number:1
Relative weight of the channel:1.0
Image name:Channel1
IdentifyPrimaryObjects:[module_num:6|svn_version:'Unknown'|variable_revision_number:15|show_window:False|notes:[]|batch_state:array([], dtype=uint8)|enabled:True|wants_pause:False]
Select the input image:chlamy_prob
Name the primary objects to be identified:chlamy
Typical diameter of objects, in pixel units (Min,Max):5,40
Discard objects outside the diameter range?:Yes
Discard objects touching the border of the image?:Yes
Method to distinguish clumped objects:Intensity
Method to draw dividing lines between clumped objects:Intensity
Size of smoothing filter:25
Suppress local maxima that are closer than this minimum allowed distance:25
Speed up by using lower-resolution image to find local maxima?:Yes
Fill holes in identified objects?:After both thresholding and declumping
Automatically calculate size of smoothing filter for declumping?:No
Automatically calculate minimum allowed distance between local maxima?:No
Handling of objects if excessive number of objects identified:Continue
Maximum number of objects:500
Use advanced settings?:Yes
Threshold setting version:12
Threshold strategy:Global
Thresholding method:Manual
Threshold smoothing scale:1.3488
Threshold correction factor:1.0
Lower and upper bounds on threshold:0.0,1.0
Manual threshold:0.5
Select the measurement to threshold with:None
Two-class or three-class thresholding?:Two classes
Log transform before thresholding?:No
Assign pixels in the middle intensity class to the foreground or the background?:Foreground
Size of adaptive window:50
Lower outlier fraction:0.05
Upper outlier fraction:0.05
Averaging method:Mean
Variance method:Standard deviation
# of deviations:2.0
Thresholding method:Minimum Cross-Entropy
MeasureObjectSizeShape:[module_num:7|svn_version:'Unknown'|variable_revision_number:3|show_window:False|notes:[]|batch_state:array([], dtype=uint8)|enabled:True|wants_pause:False]
Select object sets to measure:chlamy
Calculate the Zernike features?:Yes
Calculate the advanced features?:Yes
ConvertObjectsToImage:[module_num:8|svn_version:'Unknown'|variable_revision_number:1|show_window:False|notes:[]|batch_state:array([], dtype=uint8)|enabled:True|wants_pause:False]
Select the input objects:chlamy
Name the output image:chlamy_img
Select the color format:Binary (black & white)
Select the colormap:Default
SaveImages:[module_num:9|svn_version:'Unknown'|variable_revision_number:16|show_window:False|notes:[]|batch_state:array([], dtype=uint8)|enabled:True|wants_pause:False]
Select the type of image to save:Image
Select the image to save:chlamy_img
Select method for constructing file names:From image filename
Select image name for file prefix:pool
Enter single file name:OrigBlue
Number of digits:4
Append a suffix to the image file name?:Yes
Text to append to the image name:_obj
Saved file format:tiff
Output file location:Default Output Folder sub-folder|images
Image bit depth:8-bit integer
Overwrite existing files without warning?:No
When to save:Every cycle
Record the file and path information to the saved image?:No
Create subfolders in the output folder?:No
Base image folder:Elsewhere...|
How to save the series:T (Time)
Save with lossless compression?:Yes
ExportToSpreadsheet:[module_num:10|svn_version:'Unknown'|variable_revision_number:13|show_window:False|notes:[]|batch_state:array([], dtype=uint8)|enabled:True|wants_pause:False]
Select the column delimiter:Comma (",")
Add image metadata columns to your object data file?:No
Add image file and folder names to your object data file?:No
Select the measurements to export:No
Calculate the per-image mean values for object measurements?:Yes
Calculate the per-image median values for object measurements?:No
Calculate the per-image standard deviation values for object measurements?:Yes
Output file location:Default Output Folder sub-folder|data
Create a GenePattern GCT file?:No
Select source of sample row name:Metadata
Select the image to use as the identifier:None
Select the metadata to use as the identifier:None
Export all measurement types?:Yes
Press button to select measurements:
Representation of Nan/Inf:NaN
Add a prefix to file names?:Yes
Filename prefix:chlamy_obj
Overwrite existing files without warning?:No
Data to export:Do not use
Combine these object measurements with those of the previous object?:No
File name:DATA.csv
Use the object name for the file name?:Yes