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Scalable Cytometry Image Processing (SCIP) is an open-source tool that implements an image processing pipeline on top of Dask, a distributed computing framework written in Python. SCIP performs projection, illumination correction, image segmentation and masking, and feature extraction.

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ScalableCytometryImageProcessing/SCIP

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SCIP: Scalable Cytometry Image Processing

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Scalable Cytometry Image Processing (SCIP) is an open-source tool that implements an image processing pipeline on top of Dask, a distributed computing framework written in Python. SCIP performs normalization, image segmentation and masking, and feature extraction.

Check the docs for installation and usage instructions, and API documentation.

Development

Generating documentation

For publishing online:

cd docs
make clean
make html

For development with live reloading:

cd docs
make livehtml

Generate release changelog

git log v{previous version tag}..HEAD --oneline | xclip -sel clip

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Scalable Cytometry Image Processing (SCIP) is an open-source tool that implements an image processing pipeline on top of Dask, a distributed computing framework written in Python. SCIP performs projection, illumination correction, image segmentation and masking, and feature extraction.

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