CyLinter is quality control software for identifying and removing cell segmentation instances corrupted by optical and/or image-processing artifacts in multiplex microscopy images. The tool is user-guided and comprises a set of modular and extensible QC modules instantiated in a configurable Python Class object. Module results are cached to allow for dynamic restarts.
CyLinter development is led by Greg Baker at the Laboratory of Systems Pharmacology, Harvard Medical School.
Funding: This work is supported by the following:
Instructions: https://labsyspharm.github.io/cylinter/
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CyLinter
We found that cylinter demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 2 open source maintainers collaborating on the project.
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