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CellProfiler Pipeline: http://www.cellprofiler.org
Version:4
DateRevision:319
GitHash:
ModuleCount:13
HasImagePlaneDetails:False
Images:[module_num:1|svn_version:\'Unknown\'|variable_revision_number:2|show_window:True|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.\'\x5D|batch_state:array(\x5B\x5D, dtype=uint8)|enabled:True|wants_pause:False]
:\xff\xfe
Filter images?:\xff\xfeI\x00m\x00a\x00g\x00e\x00s\x00 \x00o\x00n\x00l\x00y\x00
Select the rule criteria:\xff\xfea\x00n\x00d\x00 \x00(\x00e\x00x\x00t\x00e\x00n\x00s\x00i\x00o\x00n\x00 \x00d\x00o\x00e\x00s\x00 \x00i\x00s\x00i\x00m\x00a\x00g\x00e\x00)\x00 \x00(\x00d\x00i\x00r\x00e\x00c\x00t\x00o\x00r\x00y\x00 \x00d\x00o\x00e\x00s\x00n\x00o\x00t\x00 \x00c\x00o\x00n\x00t\x00a\x00i\x00n\x00r\x00e\x00g\x00e\x00x\x00p\x00 \x00"\x00\x5B\x00\\\x00\\\x00\\\x00\\\x00/\x00\x5D\x00\\\x00\\\x00.\x00"\x00)\x00
Metadata:[module_num:2|svn_version:\'Unknown\'|variable_revision_number:5|show_window:True|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.\', \'\', \'First click the \\xe2\\x80\\x9cUpdate Metadata\\xe2\\x80\\x9d button in the top half of the module and then click the \\xe2\\x80\\x9cUpdate\\xe2\\x80\\x9d button on the table in the bottom half.\', \'After doing this, you should see the table populate with your images with a line per channel.\', \'\'\x5D|batch_state:array(\x5B\x5D, dtype=uint8)|enabled:True|wants_pause:False]
Extract metadata?:\xff\xfeY\x00e\x00s\x00
Metadata data type:\xff\xfeT\x00e\x00x\x00t\x00
Metadata types:\xff\xfe{\x00}\x00
Extraction method count:\xff\xfe1\x00
Metadata extraction method:\xff\xfeE\x00x\x00t\x00r\x00a\x00c\x00t\x00 \x00f\x00r\x00o\x00m\x00 \x00i\x00m\x00a\x00g\x00e\x00 \x00f\x00i\x00l\x00e\x00 \x00h\x00e\x00a\x00d\x00e\x00r\x00s\x00
Metadata source:\xff\xfeF\x00i\x00l\x00e\x00 \x00n\x00a\x00m\x00e\x00
Regular expression to extract from file name:\xff\xfe^\x00(\x00?\x00P\x00<\x00P\x00l\x00a\x00t\x00e\x00>\x00.\x00*\x00)\x00_\x00(\x00?\x00P\x00<\x00W\x00e\x00l\x00l\x00>\x00\x5B\x00A\x00-\x00P\x00\x5D\x00\x5B\x000\x00-\x009\x00\x5D\x00{\x002\x00}\x00)\x00_\x00s\x00(\x00?\x00P\x00<\x00S\x00i\x00t\x00e\x00>\x00\x5B\x000\x00-\x009\x00\x5D\x00)\x00_\x00w\x00(\x00?\x00P\x00<\x00C\x00h\x00a\x00n\x00n\x00e\x00l\x00N\x00u\x00m\x00b\x00e\x00r\x00>\x00\x5B\x000\x00-\x009\x00\x5D\x00)\x00
Regular expression to extract from folder name:\xff\xfe(\x00?\x00P\x00<\x00D\x00a\x00t\x00e\x00>\x00\x5B\x000\x00-\x009\x00\x5D\x00{\x004\x00}\x00_\x00\x5B\x000\x00-\x009\x00\x5D\x00{\x002\x00}\x00_\x00\x5B\x000\x00-\x009\x00\x5D\x00{\x002\x00}\x00)\x00$\x00
Extract metadata from:\xff\xfeA\x00l\x00l\x00 \x00i\x00m\x00a\x00g\x00e\x00s\x00
Select the filtering criteria:\xff\xfea\x00n\x00d\x00 \x00(\x00f\x00i\x00l\x00e\x00 \x00d\x00o\x00e\x00s\x00 \x00c\x00o\x00n\x00t\x00a\x00i\x00n\x00 \x00"\x00"\x00)\x00
Metadata file location:\xff\xfeE\x00l\x00s\x00e\x00w\x00h\x00e\x00r\x00e\x00.\x00.\x00.\x00\x7C\x00
Match file and image metadata:\xff\xfe\x5B\x00\x5D\x00
Use case insensitive matching?:\xff\xfeN\x00o\x00
Metadata file name:\xff\xfeN\x00o\x00n\x00e\x00
NamesAndTypes:[module_num:3|svn_version:\'Unknown\'|variable_revision_number:8|show_window:True|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]
Assign a name to:\xff\xfeI\x00m\x00a\x00g\x00e\x00s\x00 \x00m\x00a\x00t\x00c\x00h\x00i\x00n\x00g\x00 \x00r\x00u\x00l\x00e\x00s\x00
Select the image type:\xff\xfeG\x00r\x00a\x00y\x00s\x00c\x00a\x00l\x00e\x00 \x00i\x00m\x00a\x00g\x00e\x00
Name to assign these images:\xff\xfeD\x00N\x00A\x00
Match metadata:\xff\xfe\x5B\x00\x5D\x00
Image set matching method:\xff\xfeO\x00r\x00d\x00e\x00r\x00
Set intensity range from:\xff\xfeI\x00m\x00a\x00g\x00e\x00 \x00m\x00e\x00t\x00a\x00d\x00a\x00t\x00a\x00
Assignments count:\xff\xfe3\x00
Single images count:\xff\xfe0\x00
Maximum intensity:\xff\xfe2\x005\x005\x00.\x000\x00
Process as 3D?:\xff\xfeN\x00o\x00
Relative pixel spacing in X:\xff\xfe1\x00.\x000\x00
Relative pixel spacing in Y:\xff\xfe1\x00.\x000\x00
Relative pixel spacing in Z:\xff\xfe1\x00.\x000\x00
Select the rule criteria:\xff\xfea\x00n\x00d\x00 \x00(\x00m\x00e\x00t\x00a\x00d\x00a\x00t\x00a\x00 \x00d\x00o\x00e\x00s\x00 \x00F\x00r\x00a\x00m\x00e\x00 \x00"\x000\x00"\x00)\x00
Name to assign these images:\xff\xfeD\x00N\x00A\x00
Name to assign these objects:\xff\xfeC\x00e\x00l\x00l\x00
Select the image type:\xff\xfeG\x00r\x00a\x00y\x00s\x00c\x00a\x00l\x00e\x00 \x00i\x00m\x00a\x00g\x00e\x00
Set intensity range from:\xff\xfeI\x00m\x00a\x00g\x00e\x00 \x00m\x00e\x00t\x00a\x00d\x00a\x00t\x00a\x00
Maximum intensity:\xff\xfe2\x005\x005\x00.\x000\x00
Select the rule criteria:\xff\xfea\x00n\x00d\x00 \x00(\x00m\x00e\x00t\x00a\x00d\x00a\x00t\x00a\x00 \x00d\x00o\x00e\x00s\x00 \x00F\x00r\x00a\x00m\x00e\x00 \x00"\x001\x00"\x00)\x00
Name to assign these images:\xff\xfeG\x00r\x00e\x00e\x00n\x00
Name to assign these objects:\xff\xfeC\x00e\x00l\x00l\x00
Select the image type:\xff\xfeG\x00r\x00a\x00y\x00s\x00c\x00a\x00l\x00e\x00 \x00i\x00m\x00a\x00g\x00e\x00
Set intensity range from:\xff\xfeI\x00m\x00a\x00g\x00e\x00 \x00m\x00e\x00t\x00a\x00d\x00a\x00t\x00a\x00
Maximum intensity:\xff\xfe2\x005\x005\x00.\x000\x00
Select the rule criteria:\xff\xfea\x00n\x00d\x00 \x00(\x00m\x00e\x00t\x00a\x00d\x00a\x00t\x00a\x00 \x00d\x00o\x00e\x00s\x00 \x00F\x00r\x00a\x00m\x00e\x00 \x00"\x002\x00"\x00)\x00
Name to assign these images:\xff\xfeR\x00e\x00d\x00
Name to assign these objects:\xff\xfeC\x00e\x00l\x00l\x00
Select the image type:\xff\xfeG\x00r\x00a\x00y\x00s\x00c\x00a\x00l\x00e\x00 \x00i\x00m\x00a\x00g\x00e\x00
Set intensity range from:\xff\xfeI\x00m\x00a\x00g\x00e\x00 \x00m\x00e\x00t\x00a\x00d\x00a\x00t\x00a\x00
Maximum intensity:\xff\xfe2\x005\x005\x00.\x000\x00
Groups:[module_num:4|svn_version:\'Unknown\'|variable_revision_number:2|show_window:True|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]
Do you want to group your images?:\xff\xfeN\x00o\x00
grouping metadata count:\xff\xfe1\x00
Metadata category:\xff\xfeN\x00o\x00n\x00e\x00
IdentifyPrimaryObjects:[module_num:5|svn_version:\'Unknown\'|variable_revision_number:13|show_window:True|notes:\x5B\'This module is set up to detect your nuclei. There are settings to change, the size filters, the thresholding, the separation of objects, among other. \', \'\', \'The main parameter you want to change is likely the "Typical Diameter of Objects" min and max settings as this is dependent on the microscope zoom level and camera you used. Press "Step". Once the window has turned up, zoom on a couple of cells and use the "Measure Length" tool in the "Tools" menu.. To do this click and drag across a length. Once you\\\'re done note the length in the bottom right of the window. THis is the diamter of this object that you need the mini\', \'\', \'\'\x5D|batch_state:array(\x5B\x5D, dtype=uint8)|enabled:True|wants_pause:False]
Select the input image:\xff\xfeD\x00N\x00A\x00
Name the primary objects to be identified:\xff\xfeN\x00u\x00c\x00l\x00e\x00i\x00
Typical diameter of objects, in pixel units (Min,Max):\xff\xfe5\x000\x00,\x001\x005\x000\x00
Discard objects outside the diameter range?:\xff\xfeY\x00e\x00s\x00
Discard objects touching the border of the image?:\xff\xfeY\x00e\x00s\x00
Method to distinguish clumped objects:\xff\xfeI\x00n\x00t\x00e\x00n\x00s\x00i\x00t\x00y\x00
Method to draw dividing lines between clumped objects:\xff\xfeI\x00n\x00t\x00e\x00n\x00s\x00i\x00t\x00y\x00
Size of smoothing filter:\xff\xfe1\x000\x00
Suppress local maxima that are closer than this minimum allowed distance:\xff\xfe7\x00.\x000\x00
Speed up by using lower-resolution image to find local maxima?:\xff\xfeY\x00e\x00s\x00
Fill holes in identified objects?:\xff\xfeA\x00f\x00t\x00e\x00r\x00 \x00b\x00o\x00t\x00h\x00 \x00t\x00h\x00r\x00e\x00s\x00h\x00o\x00l\x00d\x00i\x00n\x00g\x00 \x00a\x00n\x00d\x00 \x00d\x00e\x00c\x00l\x00u\x00m\x00p\x00i\x00n\x00g\x00
Automatically calculate size of smoothing filter for declumping?:\xff\xfeY\x00e\x00s\x00
Automatically calculate minimum allowed distance between local maxima?:\xff\xfeY\x00e\x00s\x00
Handling of objects if excessive number of objects identified:\xff\xfeC\x00o\x00n\x00t\x00i\x00n\x00u\x00e\x00
Maximum number of objects:\xff\xfe5\x000\x000\x00
Use advanced settings?:\xff\xfeY\x00e\x00s\x00
Threshold setting version:\xff\xfe1\x000\x00
Threshold strategy:\xff\xfeG\x00l\x00o\x00b\x00a\x00l\x00
Thresholding method:\xff\xfeO\x00t\x00s\x00u\x00
Threshold smoothing scale:\xff\xfe2\x00
Threshold correction factor:\xff\xfe0\x00.\x008\x00
Lower and upper bounds on threshold:\xff\xfe0\x00.\x000\x00,\x001\x00.\x000\x00
Manual threshold:\xff\xfe0\x00.\x000\x00
Select the measurement to threshold with:\xff\xfeN\x00o\x00n\x00e\x00
Two-class or three-class thresholding?:\xff\xfeT\x00w\x00o\x00 \x00c\x00l\x00a\x00s\x00s\x00e\x00s\x00
Assign pixels in the middle intensity class to the foreground or the background?:\xff\xfeF\x00o\x00r\x00e\x00g\x00r\x00o\x00u\x00n\x00d\x00
Size of adaptive window:\xff\xfe5\x000\x00
Lower outlier fraction:\xff\xfe0\x00.\x000\x005\x00
Upper outlier fraction:\xff\xfe0\x00.\x000\x005\x00
Averaging method:\xff\xfeM\x00e\x00a\x00n\x00
Variance method:\xff\xfeS\x00t\x00a\x00n\x00d\x00a\x00r\x00d\x00 \x00d\x00e\x00v\x00i\x00a\x00t\x00i\x00o\x00n\x00
# of deviations:\xff\xfe2\x00.\x000\x00
Thresholding method:\xff\xfeO\x00t\x00s\x00u\x00
IdentifySecondaryObjects:[module_num:6|svn_version:\'Unknown\'|variable_revision_number:10|show_window:True|notes:\x5B\'This module is set up to "spread out" from your nuclei until a loss in intensity is found to end up with cell objects\'\x5D|batch_state:array(\x5B\x5D, dtype=uint8)|enabled:True|wants_pause:False]
Select the input objects:\xff\xfeN\x00u\x00c\x00l\x00e\x00i\x00
Name the objects to be identified:\xff\xfeC\x00e\x00l\x00l\x00
Select the method to identify the secondary objects:\xff\xfeP\x00r\x00o\x00p\x00a\x00g\x00a\x00t\x00i\x00o\x00n\x00
Select the input image:\xff\xfeR\x00e\x00d\x00
Number of pixels by which to expand the primary objects:\xff\xfe1\x000\x00
Regularization factor:\xff\xfe0\x00.\x000\x005\x00
Discard secondary objects touching the border of the image?:\xff\xfeN\x00o\x00
Discard the associated primary objects?:\xff\xfeN\x00o\x00
Name the new primary objects:\xff\xfeF\x00i\x00l\x00t\x00e\x00r\x00e\x00d\x00N\x00u\x00c\x00l\x00e\x00i\x00
Fill holes in identified objects?:\xff\xfeY\x00e\x00s\x00
Threshold setting version:\xff\xfe1\x000\x00
Threshold strategy:\xff\xfeG\x00l\x00o\x00b\x00a\x00l\x00
Thresholding method:\xff\xfeM\x00i\x00n\x00i\x00m\x00u\x00m\x00 \x00c\x00r\x00o\x00s\x00s\x00 \x00e\x00n\x00t\x00r\x00o\x00p\x00y\x00
Threshold smoothing scale:\xff\xfe0\x00.\x000\x00
Threshold correction factor:\xff\xfe1\x00.\x000\x00
Lower and upper bounds on threshold:\xff\xfe0\x00.\x000\x00,\x001\x00.\x000\x00
Manual threshold:\xff\xfe0\x00.\x000\x00
Select the measurement to threshold with:\xff\xfeN\x00o\x00n\x00e\x00
Two-class or three-class thresholding?:\xff\xfeT\x00w\x00o\x00 \x00c\x00l\x00a\x00s\x00s\x00e\x00s\x00
Assign pixels in the middle intensity class to the foreground or the background?:\xff\xfeF\x00o\x00r\x00e\x00g\x00r\x00o\x00u\x00n\x00d\x00
Size of adaptive window:\xff\xfe5\x000\x00
Lower outlier fraction:\xff\xfe0\x00.\x000\x005\x00
Upper outlier fraction:\xff\xfe0\x00.\x000\x005\x00
Averaging method:\xff\xfeM\x00e\x00a\x00n\x00
Variance method:\xff\xfeS\x00t\x00a\x00n\x00d\x00a\x00r\x00d\x00 \x00d\x00e\x00v\x00i\x00a\x00t\x00i\x00o\x00n\x00
# of deviations:\xff\xfe2\x00.\x000\x00
Thresholding method:\xff\xfeO\x00t\x00s\x00u\x00
IdentifyTertiaryObjects:[module_num:7|svn_version:\'Unknown\'|variable_revision_number:3|show_window:True|notes:\x5B\'This module subtracts the nuclei objects from the matching cell objects to end up with objects representing the cytoplasm of the cells\'\x5D|batch_state:array(\x5B\x5D, dtype=uint8)|enabled:True|wants_pause:False]
Select the larger identified objects:\xff\xfeC\x00e\x00l\x00l\x00
Select the smaller identified objects:\xff\xfeN\x00u\x00c\x00l\x00e\x00i\x00
Name the tertiary objects to be identified:\xff\xfeC\x00y\x00t\x00o\x00p\x00l\x00a\x00s\x00m\x00
Shrink smaller object prior to subtraction?:\xff\xfeY\x00e\x00s\x00
MeasureObjectIntensity:[module_num:8|svn_version:\'Unknown\'|variable_revision_number:3|show_window:True|notes:\x5B\'This measures the intensity in the red and green channels in the nuclei and cytoplasm objects\'\x5D|batch_state:array(\x5B\x5D, dtype=uint8)|enabled:True|wants_pause:False]
Hidden:\xff\xfe2\x00
Select an image to measure:\xff\xfeG\x00r\x00e\x00e\x00n\x00
Select an image to measure:\xff\xfeR\x00e\x00d\x00
Select objects to measure:\xff\xfeN\x00u\x00c\x00l\x00e\x00i\x00
Select objects to measure:\xff\xfeC\x00y\x00t\x00o\x00p\x00l\x00a\x00s\x00m\x00
MeasureObjectSizeShape:[module_num:9|svn_version:\'Unknown\'|variable_revision_number:1|show_window:True|notes:\x5B\'This module is set up to measure the size and shape of the below objects.\'\x5D|batch_state:array(\x5B\x5D, dtype=uint8)|enabled:True|wants_pause:False]
Select objects to measure:\xff\xfeN\x00u\x00c\x00l\x00e\x00i\x00
Select objects to measure:\xff\xfeC\x00y\x00t\x00o\x00p\x00l\x00a\x00s\x00m\x00
Select objects to measure:\xff\xfeC\x00e\x00l\x00l\x00
Calculate the Zernike features?:\xff\xfeY\x00e\x00s\x00
GrayToColor:[module_num:10|svn_version:\'Unknown\'|variable_revision_number:3|show_window:True|notes:\x5B\'The module creates a composite image of your separate channels so the results of the segmentation can be assessed\'\x5D|batch_state:array(\x5B\x5D, dtype=uint8)|enabled:True|wants_pause:False]
Select a color scheme:\xff\xfeR\x00G\x00B\x00
Select the image to be colored red:\xff\xfeR\x00e\x00d\x00
Select the image to be colored green:\xff\xfeG\x00r\x00e\x00e\x00n\x00
Select the image to be colored blue:\xff\xfeD\x00N\x00A\x00
Name the output image:\xff\xfeC\x00o\x00l\x00o\x00r\x00I\x00m\x00a\x00g\x00e\x00
Relative weight for the red image:\xff\xfe1\x00.\x000\x00
Relative weight for the green image:\xff\xfe1\x00.\x000\x00
Relative weight for the blue image:\xff\xfe1\x00.\x000\x00
Select the image to be colored cyan:\xff\xfeL\x00e\x00a\x00v\x00e\x00 \x00t\x00h\x00i\x00s\x00 \x00b\x00l\x00a\x00c\x00k\x00
Select the image to be colored magenta:\xff\xfeL\x00e\x00a\x00v\x00e\x00 \x00t\x00h\x00i\x00s\x00 \x00b\x00l\x00a\x00c\x00k\x00
Select the image to be colored yellow:\xff\xfeL\x00e\x00a\x00v\x00e\x00 \x00t\x00h\x00i\x00s\x00 \x00b\x00l\x00a\x00c\x00k\x00
Select the image that determines brightness:\xff\xfeL\x00e\x00a\x00v\x00e\x00 \x00t\x00h\x00i\x00s\x00 \x00b\x00l\x00a\x00c\x00k\x00
Relative weight for the cyan image:\xff\xfe1\x00.\x000\x00
Relative weight for the magenta image:\xff\xfe1\x00.\x000\x00
Relative weight for the yellow image:\xff\xfe1\x00.\x000\x00
Relative weight for the brightness image:\xff\xfe1\x00.\x000\x00
Hidden:\xff\xfe1\x00
Image name:\xff\xfeN\x00o\x00n\x00e\x00
Color:\xff\xfe#\x00f\x00f\x000\x000\x000\x000\x00
Weight:\xff\xfe1\x00.\x000\x00
OverlayOutlines:[module_num:11|svn_version:\'Unknown\'|variable_revision_number:4|show_window:True|notes:\x5B\'This draws the outlines of the segmentation on your composite image.\'\x5D|batch_state:array(\x5B\x5D, dtype=uint8)|enabled:True|wants_pause:False]
Display outlines on a blank image?:\xff\xfeN\x00o\x00
Select image on which to display outlines:\xff\xfeC\x00o\x00l\x00o\x00r\x00I\x00m\x00a\x00g\x00e\x00
Name the output image:\xff\xfeO\x00r\x00i\x00g\x00O\x00v\x00e\x00r\x00l\x00a\x00y\x00
Outline display mode:\xff\xfeC\x00o\x00l\x00o\x00r\x00
Select method to determine brightness of outlines:\xff\xfeM\x00a\x00x\x00 \x00o\x00f\x00 \x00i\x00m\x00a\x00g\x00e\x00
How to outline:\xff\xfeI\x00n\x00n\x00e\x00r\x00
Select outline color:\xff\xfey\x00e\x00l\x00l\x00o\x00w\x00
Select objects to display:\xff\xfeC\x00y\x00t\x00o\x00p\x00l\x00a\x00s\x00m\x00
SaveImages:[module_num:12|svn_version:\'Unknown\'|variable_revision_number:13|show_window:True|notes:\x5B\'This module saves the images created in OverlayOutlines\'\x5D|batch_state:array(\x5B\x5D, dtype=uint8)|enabled:True|wants_pause:False]
Select the type of image to save:\xff\xfeI\x00m\x00a\x00g\x00e\x00
Select the image to save:\xff\xfeO\x00r\x00i\x00g\x00O\x00v\x00e\x00r\x00l\x00a\x00y\x00
Select method for constructing file names:\xff\xfeF\x00r\x00o\x00m\x00 \x00i\x00m\x00a\x00g\x00e\x00 \x00f\x00i\x00l\x00e\x00n\x00a\x00m\x00e\x00
Select image name for file prefix:\xff\xfeD\x00N\x00A\x00
Enter file prefix:\xff\xfe
Number of digits:\xff\xfe4\x00
Append a suffix to the image file name?:\xff\xfeY\x00e\x00s\x00
Text to append to the image name:\xff\xfe_\x00O\x00v\x00e\x00r\x00l\x00a\x00y\x00
Saved file format:\xff\xfet\x00i\x00f\x00f\x00
Output file location:\xff\xfeD\x00e\x00f\x00a\x00u\x00l\x00t\x00 \x00O\x00u\x00t\x00p\x00u\x00t\x00 \x00F\x00o\x00l\x00d\x00e\x00r\x00\x7C\x00
Image bit depth:\xff\xfe8\x00-\x00b\x00i\x00t\x00 \x00i\x00n\x00t\x00e\x00g\x00e\x00r\x00
Overwrite existing files without warning?:\xff\xfeY\x00e\x00s\x00
When to save:\xff\xfeE\x00v\x00e\x00r\x00y\x00 \x00c\x00y\x00c\x00l\x00e\x00
Record the file and path information to the saved image?:\xff\xfeN\x00o\x00
Create subfolders in the output folder?:\xff\xfeN\x00o\x00
Base image folder:\xff\xfeE\x00l\x00s\x00e\x00w\x00h\x00e\x00r\x00e\x00.\x00.\x00.\x00\x7C\x00
ExportToSpreadsheet:[module_num:13|svn_version:\'Unknown\'|variable_revision_number:12|show_window:True|notes:\x5B\'By default, the CellProfiler measurement module measure a lot of different parameters and these are all output in the spreadsheet output. So as to not overwhelm you with measurments, this pipeline is just output mean intensity and area measurement. This is done by going to the "Press Button to Select Measurements" button below and ticking or unticking the desired measurements. If there is a measurement you want missing the look for it in there and tick it if you find it.\'\x5D|batch_state:array(\x5B\x5D, dtype=uint8)|enabled:True|wants_pause:False]
Select the column delimiter:\xff\xfeT\x00a\x00b\x00
Add image metadata columns to your object data file?:\xff\xfeN\x00o\x00
Select the measurements to export:\xff\xfeY\x00e\x00s\x00
Calculate the per-image mean values for object measurements?:\xff\xfeY\x00e\x00s\x00
Calculate the per-image median values for object measurements?:\xff\xfeN\x00o\x00
Calculate the per-image standard deviation values for object measurements?:\xff\xfeN\x00o\x00
Output file location:\xff\xfeD\x00e\x00f\x00a\x00u\x00l\x00t\x00 \x00O\x00u\x00t\x00p\x00u\x00t\x00 \x00F\x00o\x00l\x00d\x00e\x00r\x00\x7C\x00
Create a GenePattern GCT file?:\xff\xfeN\x00o\x00
Select source of sample row name:\xff\xfeM\x00e\x00t\x00a\x00d\x00a\x00t\x00a\x00
Select the image to use as the identifier:\xff\xfeN\x00o\x00n\x00e\x00
Select the metadata to use as the identifier:\xff\xfeN\x00o\x00n\x00e\x00
Export all measurement types?:\xff\xfeN\x00o\x00
Press button to select measurements:\xff\xfeC\x00y\x00t\x00o\x00p\x00l\x00a\x00s\x00m\x00\x7C\x00I\x00n\x00t\x00e\x00n\x00s\x00i\x00t\x00y\x00_\x00M\x00e\x00a\x00n\x00I\x00n\x00t\x00e\x00n\x00s\x00i\x00t\x00y\x00_\x00R\x00e\x00d\x00,\x00C\x00y\x00t\x00o\x00p\x00l\x00a\x00s\x00m\x00\x7C\x00A\x00r\x00e\x00a\x00S\x00h\x00a\x00p\x00e\x00_\x00A\x00r\x00e\x00a\x00,\x00I\x00m\x00a\x00g\x00e\x00\x7C\x00C\x00o\x00u\x00n\x00t\x00_\x00C\x00e\x00l\x00l\x00,\x00I\x00m\x00a\x00g\x00e\x00\x7C\x00C\x00o\x00u\x00n\x00t\x00_\x00C\x00y\x00t\x00o\x00p\x00l\x00a\x00s\x00m\x00,\x00I\x00m\x00a\x00g\x00e\x00\x7C\x00C\x00o\x00u\x00n\x00t\x00_\x00N\x00u\x00c\x00l\x00e\x00i\x00,\x00I\x00m\x00a\x00g\x00e\x00\x7C\x00F\x00i\x00l\x00e\x00N\x00a\x00m\x00e\x00_\x00D\x00N\x00A\x00,\x00C\x00e\x00l\x00l\x00\x7C\x00A\x00r\x00e\x00a\x00S\x00h\x00a\x00p\x00e\x00_\x00A\x00r\x00e\x00a\x00,\x00N\x00u\x00c\x00l\x00e\x00i\x00\x7C\x00N\x00u\x00m\x00b\x00e\x00r\x00_\x00O\x00b\x00j\x00e\x00c\x00t\x00_\x00N\x00u\x00m\x00b\x00e\x00r\x00,\x00N\x00u\x00c\x00l\x00e\x00i\x00\x7C\x00I\x00n\x00t\x00e\x00n\x00s\x00i\x00t\x00y\x00_\x00M\x00e\x00a\x00n\x00I\x00n\x00t\x00e\x00n\x00s\x00i\x00t\x00y\x00_\x00G\x00r\x00e\x00e\x00n\x00,\x00N\x00u\x00c\x00l\x00e\x00i\x00\x7C\x00I\x00n\x00t\x00e\x00n\x00s\x00i\x00t\x00y\x00_\x00M\x00e\x00a\x00n\x00I\x00n\x00t\x00e\x00n\x00s\x00i\x00t\x00y\x00_\x00R\x00e\x00d\x00,\x00N\x00u\x00c\x00l\x00e\x00i\x00\x7C\x00A\x00r\x00e\x00a\x00S\x00h\x00a\x00p\x00e\x00_\x00A\x00r\x00e\x00a\x00
Representation of Nan/Inf:\xff\xfeN\x00a\x00N\x00
Add a prefix to file names?:\xff\xfeY\x00e\x00s\x00
Filename prefix:\xff\xfeC\x00e\x00l\x00l\x00P\x00r\x00o\x00f\x00i\x00l\x00e\x00r\x00_\x00
Overwrite existing files without warning?:\xff\xfeY\x00e\x00s\x00
Data to export:\xff\xfeI\x00m\x00a\x00g\x00e\x00
Combine these object measurements with those of the previous object?:\xff\xfeN\x00o\x00
File name:\xff\xfeD\x00A\x00T\x00A\x00.\x00c\x00s\x00v\x00
Use the object name for the file name?:\xff\xfeY\x00e\x00s\x00
Data to export:\xff\xfeC\x00e\x00l\x00l\x00
Combine these object measurements with those of the previous object?:\xff\xfeN\x00o\x00
File name:\xff\xfeD\x00A\x00T\x00A\x00.\x00c\x00s\x00v\x00
Use the object name for the file name?:\xff\xfeY\x00e\x00s\x00
Data to export:\xff\xfeC\x00y\x00t\x00o\x00p\x00l\x00a\x00s\x00m\x00
Combine these object measurements with those of the previous object?:\xff\xfeN\x00o\x00
File name:\xff\xfeD\x00A\x00T\x00A\x00.\x00c\x00s\x00v\x00
Use the object name for the file name?:\xff\xfeY\x00e\x00s\x00
Data to export:\xff\xfeN\x00u\x00c\x00l\x00e\x00i\x00
Combine these object measurements with those of the previous object?:\xff\xfeN\x00o\x00
File name:\xff\xfeD\x00A\x00T\x00A\x00.\x00c\x00s\x00v\x00
Use the object name for the file name?:\xff\xfeY\x00e\x00s\x00