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Murphy Lab - Software - PLoS ONE 2012 - Microtubule Distribution ComparisonThe software and intermediate results used for the following paper can be downloaded below: Jieyue Li, Aabid Shariff, Mikaela Wiking, Emma Lundberg, Gustavo K. Rohde and Robert F. Murphy. Estimating microtubule distributions from 2D immunofluorescence microscopy images reveals differences among human cultured cell lines. (2012) PLoS ONE 7:e0050292. The data and code are contained in the following files compressed with tar and gzip Recreating Results from Raw Image DataTo recreate the results from the article (i.e. the figures and tables) from the raw image data,Download and expand the source code file above to the desired directory. tar -xzf CellLines_Code.tar.gz Download and expand the raw images for one or more of the cell lines, e.g. tar -xzf CellLines_rawdataHPA_A431.tar.gz This extracts the files into the appropriate subdirectory in the images subdirectory of the CellLines directory. You can also use the helper script getrawdata.sh to download and extract these files. In Matlab, run the main function >> masterscript See details in masterscript.m for more options of input image path and selection of cell line(s). Recreating Results from Intermediate ResultsOption 1: Recreate the results from the article (i.e. the figures and tables), from intermediate results of segmented cell geometries (masks, cell and nuclear shapes)To recreate the results from the article, from intermediate results of segmented cell geometries (masks, cell and nuclear shapes)Download and extract the source code and intermediate results from the above links to the desired directory tar -xzf CellLines_Code.tar.gz tar -xzf CellLines_MasksShapes.tar.gz In Matlab, run the main function - masterscript, e.g. >> masterscript See details in masterscript.m for more options of input image path and selection of cell line(s). Option 2: Recreate the results from the article (i.e. the figures and tables), from intermediate results of generated images and calculated featuresTo recreate the results from the article, from intermediate results of generated images and calculated features download the source code and intermediate results of generated images and calculated features (you may choose one or more cell lines) from the above links to the desired directory.tar -xzf CellLines_Code.tar.gz Concatenate and expand the generated images cat CellLines_ImagesHPA_A431.tar.gz.part-* > CellLines_ImagesHPA_A431.tar.gz tar -xzf CellLines_ImagesHPA_A431.tar.gz You can use the helpder script getsyntheticimages.sh to download, concatenate and extract these files. In Matlab, run the main function >> masterscript See details in masterscript.m for more options of input image path and selection of cell line(s). Option 3: Recreate the results from the article, i.e. the figures and tables, from intermediate results of all estimated model parametersTo recreate the results from the article from intermediate results of all estimated model parameters download the source code and estimated model parameters from the above link to the desired directorytar -xzf CellLines_Code.tar.gz Expand the intermediate results of all estimated model parameters tar -xzf CellLines_Results.tgz In Matlab, run the function >> regenResults System requirements
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Last Updated: 28 Nov 2012 |
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