CellProfiler Pipeline: http://www.cellprofiler.org Version:3 DateRevision:300 GitHash: ModuleCount:32 HasImagePlaneDetails:False 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.\', \'\\xe2\\x80\\x94\', \'Settings converted from legacy pipeline.\'\x5D|batch_state:array(\x5B\x5D, dtype=uint8)|enabled:True|wants_pause:False] : Filter images?:No filtering Select the rule criteria:and (extension does isimage) (directory doesnot containregexp "\x5B\\\\\\\\\\\\\\\\/\x5D\\\\\\\\.") Metadata:[module_num:2|svn_version:\'Unknown\'|variable_revision_number:4|show_window:False|notes:\x5B\'\'\x5D|batch_state:array(\x5B\x5D, dtype=uint8)|enabled:True|wants_pause:False] Extract metadata?:Yes Metadata data type:Text Metadata types:{} Extraction method count:3 Metadata extraction method:Extract from file/folder names Metadata source:File name Regular expression to extract from file name:.*(?P\x5BA-Z\x5D\\\\d+)_s(?P\\\\d+)_w(?P\\\\d) Regular expression to extract from folder name:(?P\x5B0-9\x5D{4}_\x5B0-9\x5D{2}_\x5B0-9\x5D{2})$ Extract metadata from:All images Select the filtering criteria:and (file does containregexp "^(?P.+?)\\\\\\\\_IllumDAPI\\\\\\\\.mat$") Metadata file location: Match file and image metadata:\x5B\x5D Use case insensitive matching?:No Metadata extraction method:Extract from file/folder names Metadata source:File name Regular expression to extract from file name:(?P.*)_Illum(?P.*)\\\\. Regular expression to extract from folder name:(?P\x5B0-9\x5D{4}_\x5B0-9\x5D{2}_\x5B0-9\x5D{2})$ Extract metadata from:All images Select the filtering criteria:and (file does contain "") Metadata file location: Match file and image metadata:\x5B\x5D Use case insensitive matching?:No Metadata extraction method:Extract from file/folder names Metadata source:Folder name Regular expression to extract from file name:^(?P.*)_(?P\x5BA-P\x5D\x5B0-9\x5D{2})_s(?P\x5B0-9\x5D)_w(?P\x5B0-9\x5D) Regular expression to extract from folder name:.*(\\\\\\\\\x7C/)(?P.*) Extract metadata from:All images Select the filtering criteria:and (file does contain "") Metadata file location: Match file and image metadata:\x5B\x5D Use case insensitive matching?:No NamesAndTypes:[module_num:3|svn_version:\'Unknown\'|variable_revision_number:8|show_window:False|notes:\x5B\'Note the mixing of $folder and $folder2. These will be the same value, but one is stored in the folder name and the other is in the filename. After clicking *Update*, observe the column directly underneath. This column reflects the grouping. Note that the value for $folder is used in the *Groups* module, not $folder2. This behavior is ambiguous, because $folder2 is not explicitly used in the grouping. Regardless, the images are still grouped together.\'\x5D|batch_state:array(\x5B\x5D, dtype=uint8)|enabled:True|wants_pause:False] Assign a name to:Images matching rules Select the image type:Grayscale image Name to assign these images:DNA Match metadata:\x5B{u\'ActinIllum\'\x3A u\'folder_illum\', u\'DAPI\'\x3A u\'folder\', u\'TubIllum\'\x3A u\'folder_illum\', u\'Tubulin\'\x3A u\'folder\', u\'DAPIillum\'\x3A u\'folder_illum\', u\'Actin\'\x3A u\'folder\'}, {u\'ActinIllum\'\x3A None, u\'Tubulin\'\x3A u\'well\', u\'TubIllum\'\x3A None, u\'DAPI\'\x3A u\'well\', u\'DAPIillum\'\x3A None, u\'Actin\'\x3A u\'well\'}, {u\'ActinIllum\'\x3A None, u\'Tubulin\'\x3A u\'site\', u\'TubIllum\'\x3A None, u\'DAPI\'\x3A u\'site\', u\'DAPIillum\'\x3A None, u\'Actin\'\x3A u\'site\'}\x5D Image set matching method:Metadata Set intensity range from:Image metadata Assignments count:6 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 (metadata does channel "1") Name to assign these images:DAPI Name to assign these objects:Cell Select the image type:Grayscale image Set intensity range from:Image metadata Maximum intensity:255.0 Select the rule criteria:and (metadata does channel "2") Name to assign these images:Actin Name to assign these objects:Cell Select the image type:Grayscale image Set intensity range from:Image metadata Maximum intensity:255.0 Select the rule criteria:and (metadata does channel "4") Name to assign these images:Tubulin Name to assign these objects:Cell Select the image type:Grayscale image Set intensity range from:Image metadata Maximum intensity:255.0 Select the rule criteria:and (metadata does illum "Actin") Name to assign these images:ActinIllum Name to assign these objects:Cell Select the image type:Illumination function Set intensity range from:Image metadata Maximum intensity:255.0 Select the rule criteria:and (metadata does illum "DAPI") Name to assign these images:DAPIillum Name to assign these objects:Cell Select the image type:Illumination function Set intensity range from:Image metadata Maximum intensity:255.0 Select the rule criteria:and (metadata does illum "Tubulin") Name to assign these images:TubIllum Name to assign these objects:Cell Select the image type:Illumination function 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:\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.\', \'---\', \'Settings converted from legacy pipeline.\'\x5D|batch_state:array(\x5B\x5D, dtype=uint8)|enabled:True|wants_pause:False] Do you want to group your images?:Yes grouping metadata count:2 Metadata category:folder Metadata category:well CorrectIlluminationApply:[module_num:5|svn_version:\'Unknown\'|variable_revision_number:3|show_window:False|notes:\x5B\x5D|batch_state:array(\x5B\x5D, dtype=uint8)|enabled:True|wants_pause:False] Select the input image:DAPI Name the output image:CorrDAPI Select the illumination function:DAPIillum Select how the illumination function is applied:Divide CorrectIlluminationApply:[module_num:6|svn_version:\'Unknown\'|variable_revision_number:3|show_window:False|notes:\x5B\x5D|batch_state:array(\x5B\x5D, dtype=uint8)|enabled:True|wants_pause:False] Select the input image:Actin Name the output image:CorrActin Select the illumination function:ActinIllum Select how the illumination function is applied:Divide CorrectIlluminationApply:[module_num:7|svn_version:\'Unknown\'|variable_revision_number:3|show_window:False|notes:\x5B\x5D|batch_state:array(\x5B\x5D, dtype=uint8)|enabled:True|wants_pause:False] Select the input image:Tubulin Name the output image:CorrTub Select the illumination function:TubIllum Select how the illumination function is applied:Divide SaveImages:[module_num:8|svn_version:\'Unknown\'|variable_revision_number:13|show_window:False|notes:\x5B\x5D|batch_state:array(\x5B\x5D, dtype=uint8)|enabled:True|wants_pause:False] Select the type of image to save:Image Select the image to save:CorrActin Select method for constructing file names:From image filename Select image name for file prefix:Actin Enter single file name:Segmentation_Cell_ Number of digits:5 Append a suffix to the image file name?:No Text to append to the image name: Saved file format:tiff Output file location:Default Output Folder sub-folder\x7Cillum_corrected/\\\\g Image bit depth:16-bit integer Overwrite existing files without warning?:Yes When to save:Every cycle Record the file and path information to the saved image?:Yes Create subfolders in the output folder?:No Base image folder:Elsewhere...\x7C/Users/santiagobenoit SaveImages:[module_num:9|svn_version:\'Unknown\'|variable_revision_number:13|show_window:False|notes:\x5B\x5D|batch_state:array(\x5B\x5D, dtype=uint8)|enabled:True|wants_pause:False] Select the type of image to save:Image Select the image to save:CorrDAPI Select method for constructing file names:From image filename Select image name for file prefix:DAPI Enter single file name:Segmentation_Cell_ Number of digits:5 Append a suffix to the image file name?:No Text to append to the image name: Saved file format:tiff Output file location:Default Output Folder sub-folder\x7Cillum_corrected/\\\\g Image bit depth:16-bit integer Overwrite existing files without warning?:Yes When to save:Every cycle Record the file and path information to the saved image?:Yes Create subfolders in the output folder?:No Base image folder:Elsewhere...\x7C/Users/santiagobenoit SaveImages:[module_num:10|svn_version:\'Unknown\'|variable_revision_number:13|show_window:False|notes:\x5B\x5D|batch_state:array(\x5B\x5D, dtype=uint8)|enabled:True|wants_pause:False] Select the type of image to save:Image Select the image to save:CorrTub Select method for constructing file names:From image filename Select image name for file prefix:Tubulin Enter single file name:Segmentation_Cell_ Number of digits:5 Append a suffix to the image file name?:No Text to append to the image name: Saved file format:tiff Output file location:Default Output Folder sub-folder\x7Cillum_corrected/\\\\g Image bit depth:16-bit integer Overwrite existing files without warning?:Yes When to save:Every cycle Record the file and path information to the saved image?:Yes Create subfolders in the output folder?:No Base image folder:Elsewhere...\x7C/Users/santiagobenoit Opening:[module_num:11|svn_version:\'Unknown\'|variable_revision_number:1|show_window:False|notes:\x5B\'This is to smooth the DAPI image that has a lot of texture.\'\x5D|batch_state:array(\x5B\x5D, dtype=uint8)|enabled:True|wants_pause:False] Select the input image:CorrDAPI Name the output image:OpeningDAPI Structuring element:disk,5 IdentifyPrimaryObjects:[module_num:12|svn_version:\'Unknown\'|variable_revision_number:13|show_window:False|notes:\x5B\x5D|batch_state:array(\x5B\x5D, dtype=uint8)|enabled:True|wants_pause:False] Select the input image:OpeningDAPI Name the primary objects to be identified:Nuclei Typical diameter of objects, in pixel units (Min,Max):15,115 Discard objects outside the diameter range?:Yes Discard objects touching the border of the image?:No Method to distinguish clumped objects:Shape Method to draw dividing lines between clumped objects:Shape Size of smoothing filter:20 Suppress local maxima that are closer than this minimum allowed distance:7 Speed up by using lower-resolution image to find local maxima?:No Fill holes in identified objects?:After both thresholding and declumping Automatically calculate size of smoothing filter for declumping?:Yes Automatically calculate minimum allowed distance between local maxima?:Yes Handling of objects if excessive number of objects identified:Continue Maximum number of objects:500 Use advanced settings?:Yes Threshold setting version:9 Threshold strategy:Global Thresholding method:Otsu Threshold smoothing scale:1.0 Threshold correction factor:1.0 Lower and upper bounds on threshold:0,1 Manual threshold:0.0 Select the measurement to threshold with:None Two-class or three-class thresholding?:Two classes Assign pixels in the middle intensity class to the foreground or the background?:Background Size of adaptive window:10 Lower outlier fraction:0.05 Upper outlier fraction:0.05 Averaging method:Mean Variance method:Standard deviation # of deviations:2 Thresholding method:Default IdentifySecondaryObjects:[module_num:13|svn_version:\'Unknown\'|variable_revision_number:10|show_window:False|notes:\x5B\x5D|batch_state:array(\x5B\x5D, dtype=uint8)|enabled:True|wants_pause:False] Select the input objects:Nuclei Name the objects to be identified:Cells Select the method to identify the secondary objects:Watershed - Image Select the input image:CorrActin Number of pixels by which to expand the primary objects:10 Regularization factor:0.05 Discard secondary objects touching the border of the image?:No Discard the associated primary objects?:No Name the new primary objects:FilteredNuclei Fill holes in identified objects?:Yes Threshold setting version:10 Threshold strategy:Global Thresholding method:Otsu Threshold smoothing scale:1.3488 Threshold correction factor:1.0 Lower and upper bounds on threshold:0.0,1.0 Manual threshold:0.0 Select the measurement to threshold with:None Two-class or three-class thresholding?:Three classes 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:Otsu IdentifyTertiaryObjects:[module_num:14|svn_version:\'Unknown\'|variable_revision_number:3|show_window:False|notes:\x5B\x5D|batch_state:array(\x5B\x5D, dtype=uint8)|enabled:True|wants_pause:False] Select the larger identified objects:Cells Select the smaller identified objects:Nuclei Name the tertiary objects to be identified:Cytoplasm Shrink smaller object prior to subtraction?:Yes ConvertObjectsToImage:[module_num:15|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] Select the input objects:Cells Name the output image:CellsImage Select the color format:uint16 Select the colormap:Default ConvertObjectsToImage:[module_num:16|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] Select the input objects:Cytoplasm Name the output image:CytoplasmImage Select the color format:uint16 Select the colormap:Default ConvertObjectsToImage:[module_num:17|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] Select the input objects:Nuclei Name the output image:NucleiImage Select the color format:uint16 Select the colormap:Default GrayToColor:[module_num:18|svn_version:\'Unknown\'|variable_revision_number:3|show_window:False|notes:\x5B\x5D|batch_state:array(\x5B\x5D, dtype=uint8)|enabled:True|wants_pause:False] Select a color scheme:RGB Select the image to be colored red:Leave this black Select the image to be colored green:Actin Select the image to be colored blue:DAPI Name the output image:ColorImage Relative weight for the red image:1.0 Relative weight for the green image:1.0 Relative weight for the blue image:1.0 Select the image to be colored cyan:Leave this black Select the image to be colored magenta:Leave this black Select the image to be colored yellow:Leave this black Select the image that determines brightness:Leave this black Relative weight for the cyan image:1.0 Relative weight for the magenta image:1.0 Relative weight for the yellow image:1.0 Relative weight for the brightness image:1.0 Hidden:1 Image name:None Color:#ff0000 Weight:1.0 OverlayOutlines:[module_num:19|svn_version:\'Unknown\'|variable_revision_number:4|show_window:False|notes:\x5B\x5D|batch_state:array(\x5B\x5D, dtype=uint8)|enabled:True|wants_pause:False] Display outlines on a blank image?:No Select image on which to display outlines:ColorImage Name the output image:OrigOverlay Outline display mode:Color Select method to determine brightness of outlines:Max of image How to outline:Thick Select outline color:#FF80FF Select objects to display:Cells Select outline color:magenta Select objects to display:Nuclei SaveImages:[module_num:20|svn_version:\'Unknown\'|variable_revision_number:13|show_window:False|notes:\x5B\x5D|batch_state:array(\x5B\x5D, dtype=uint8)|enabled:True|wants_pause:False] Select the type of image to save:Image Select the image to save:CellsImage Select method for constructing file names:From image filename Select image name for file prefix:DAPI Enter single file name:Segmentation_Cell_ Number of digits:5 Append a suffix to the image file name?:Yes Text to append to the image name:_Cell Saved file format:tiff Output file location:Default Output Folder sub-folder\x7Clabels/\\\\g Image bit depth:16-bit integer Overwrite existing files without warning?:Yes When to save:Every cycle Record the file and path information to the saved image?:Yes Create subfolders in the output folder?:No Base image folder:Elsewhere...\x7C/Users/santiagobenoit SaveImages:[module_num:21|svn_version:\'Unknown\'|variable_revision_number:13|show_window:False|notes:\x5B\x5D|batch_state:array(\x5B\x5D, dtype=uint8)|enabled:True|wants_pause:False] Select the type of image to save:Image Select the image to save:CytoplasmImage Select method for constructing file names:From image filename Select image name for file prefix:DAPI Enter single file name:Segmentation_Cytoplasm Number of digits:4 Append a suffix to the image file name?:Yes Text to append to the image name:_Cytoplasm Saved file format:tiff Output file location:Default Output Folder sub-folder\x7Clabels/\\\\g Image bit depth:16-bit integer Overwrite existing files without warning?:Yes When to save:Every cycle Record the file and path information to the saved image?:Yes Create subfolders in the output folder?:No Base image folder:Elsewhere...\x7C/Users/santiagobenoit SaveImages:[module_num:22|svn_version:\'Unknown\'|variable_revision_number:13|show_window:False|notes:\x5B\x5D|batch_state:array(\x5B\x5D, dtype=uint8)|enabled:True|wants_pause:False] Select the type of image to save:Image Select the image to save:NucleiImage Select method for constructing file names:From image filename Select image name for file prefix:DAPI Enter single file name:DAPI Number of digits:4 Append a suffix to the image file name?:Yes Text to append to the image name:_Nuclei Saved file format:tiff Output file location:Default Output Folder sub-folder\x7Clabels/\\\\g Image bit depth:16-bit integer Overwrite existing files without warning?:Yes When to save:Every cycle Record the file and path information to the saved image?:Yes Create subfolders in the output folder?:No Base image folder:Elsewhere...\x7C/Users/santiagobenoit SaveImages:[module_num:23|svn_version:\'Unknown\'|variable_revision_number:13|show_window:False|notes:\x5B\x5D|batch_state:array(\x5B\x5D, dtype=uint8)|enabled:True|wants_pause:False] Select the type of image to save:Image Select the image to save:OrigOverlay Select method for constructing file names:From image filename Select image name for file prefix:DAPI Enter single file name:DAPI Number of digits:4 Append a suffix to the image file name?:Yes Text to append to the image name:_Overlay Saved file format:png Output file location:Default Output Folder sub-folder\x7Coverlay/\\\\g Image bit depth:8-bit integer Overwrite existing files without warning?:Yes When to save:Every cycle Record the file and path information to the saved image?:Yes Create subfolders in the output folder?:No Base image folder:Elsewhere...\x7C/Users/santiagobenoit MeasureObjectIntensity:[module_num:24|svn_version:\'Unknown\'|variable_revision_number:3|show_window:False|notes:\x5B\x5D|batch_state:array(\x5B\x5D, dtype=uint8)|enabled:True|wants_pause:False] Hidden:3 Select an image to measure:CorrActin Select an image to measure:CorrDAPI Select an image to measure:CorrTub Select objects to measure:Cells Select objects to measure:Cytoplasm Select objects to measure:Nuclei MeasureObjectIntensityDistribution:[module_num:25|svn_version:\'Unknown\'|variable_revision_number:5|show_window:False|notes:\x5B\x5D|batch_state:array(\x5B\x5D, dtype=uint8)|enabled:True|wants_pause:False] Hidden:3 Hidden:3 Hidden:1 Hidden:0 Calculate intensity Zernikes?:Magnitudes and phase Maximum zernike moment:9 Select an image to measure:CorrActin Select an image to measure:CorrDAPI Select an image to measure:CorrTub Select objects to measure:Cells Object to use as center?:These objects Select objects to use as centers:None Select objects to measure:Cytoplasm Object to use as center?:These objects Select objects to use as centers:None Select objects to measure:Nuclei Object to use as center?:These objects Select objects to use as centers:None Scale the bins?:Yes Number of bins:4 Maximum radius:100 MeasureObjectSizeShape:[module_num:26|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] Select objects to measure:Cells Select objects to measure:Cytoplasm Select objects to measure:Nuclei Calculate the Zernike features?:Yes MeasureTexture:[module_num:27|svn_version:\'Unknown\'|variable_revision_number:5|show_window:False|notes:\x5B\x5D|batch_state:array(\x5B\x5D, dtype=uint8)|enabled:True|wants_pause:False] Hidden:3 Hidden:3 Hidden:3 Select an image to measure:CorrActin Select an image to measure:CorrDAPI Select an image to measure:CorrTub Select objects to measure:Cells Select objects to measure:Cytoplasm Select objects to measure:Nuclei Texture scale to measure:5 Texture scale to measure:10 Texture scale to measure:20 Measure images or objects?:Objects MeasureGranularity:[module_num:28|svn_version:\'Unknown\'|variable_revision_number:3|show_window:False|notes:\x5B\x5D|batch_state:array(\x5B\x5D, dtype=uint8)|enabled:True|wants_pause:False] Image count:3 Object count:3 Select an image to measure:CorrActin Subsampling factor for granularity measurements:0.25 Subsampling factor for background reduction:0.25 Radius of structuring element:10 Range of the granular spectrum:16 Select objects to measure:Cells Select objects to measure:Cytoplasm Select objects to measure:Nuclei Object count:3 Select an image to measure:CorrDAPI Subsampling factor for granularity measurements:0.25 Subsampling factor for background reduction:0.25 Radius of structuring element:10 Range of the granular spectrum:16 Select objects to measure:Cells Select objects to measure:Cytoplasm Select objects to measure:Nuclei Object count:3 Select an image to measure:CorrTub Subsampling factor for granularity measurements:0.25 Subsampling factor for background reduction:0.25 Radius of structuring element:10 Range of the granular spectrum:16 Select objects to measure:Cells Select objects to measure:Cytoplasm Select objects to measure:Nuclei MeasureObjectNeighbors:[module_num:29|svn_version:\'Unknown\'|variable_revision_number:2|show_window:False|notes:\x5B\x5D|batch_state:array(\x5B\x5D, dtype=uint8)|enabled:True|wants_pause:False] Select objects to measure:Cells Select neighboring objects to measure:Cells Method to determine neighbors:Within a specified distance Neighbor distance:10 Retain the image of objects colored by numbers of neighbors?:No Name the output image:ObjectNeighborCount Select colormap:Default Retain the image of objects colored by percent of touching pixels?:No Name the output image:PercentTouching Select colormap:Default MeasureObjectNeighbors:[module_num:30|svn_version:\'Unknown\'|variable_revision_number:2|show_window:False|notes:\x5B\x5D|batch_state:array(\x5B\x5D, dtype=uint8)|enabled:True|wants_pause:False] Select objects to measure:Cells Select neighboring objects to measure:Cells Method to determine neighbors:Adjacent Neighbor distance:10 Retain the image of objects colored by numbers of neighbors?:No Name the output image:ObjectNeighborCount Select colormap:Default Retain the image of objects colored by percent of touching pixels?:No Name the output image:PercentTouching Select colormap:Default MeasureObjectNeighbors:[module_num:31|svn_version:\'Unknown\'|variable_revision_number:2|show_window:False|notes:\x5B\x5D|batch_state:array(\x5B\x5D, dtype=uint8)|enabled:True|wants_pause:False] Select objects to measure:Nuclei Select neighboring objects to measure:Nuclei Method to determine neighbors:Within a specified distance Neighbor distance:2 Retain the image of objects colored by numbers of neighbors?:No Name the output image:ObjectNeighborCount Select colormap:Default Retain the image of objects colored by percent of touching pixels?:No Name the output image:PercentTouching Select colormap:Default ExportToSpreadsheet:[module_num:32|svn_version:\'Unknown\'|variable_revision_number:12|show_window:False|notes:\x5B\x5D|batch_state:array(\x5B\x5D, dtype=uint8)|enabled:True|wants_pause:False] Select the column delimiter:Comma (",") Add image metadata columns to your object data file?:Yes Select the measurements to export:No Calculate the per-image mean values for object measurements?:No Calculate the per-image median values for object measurements?:No Calculate the per-image standard deviation values for object measurements?:No Output file location:Default Output Folder sub-folder\x7Cmeasurements/\\\\g/\\\\g 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:bbbc021_ Overwrite existing files without warning?:Yes 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