pycytominer
importedsoftware/pycytominer
Python package for image-based profiling
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- BSD-3-Clause(osi)
- Status
- active
- Maturity
- deployed
- Organization
- cytomining
- Country
- unknown
- Repository
- github.com/cytomining/pycytominer
- Documentation
- unknown
- Tags
- cellprofiler · cytominer · image-analysis · image-based-profiling · microscopy · morphological-profiling · python
- Regulatory
- unknown
Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- Morpheliaimage-based-profiling · microscopy · morphological-profiling
Exploratory data analysis for image-based morphological profiling
- Enhancing-Reproducibilitycellprofiler · image-analysis · microscopy
Companion notebooks for our paper on reproducible statistics in bioimage analysis — runs in-browser via Binder
- CytoDataFrameimage-analysis · image-based-profiling
An in-memory data analysis format for single-cell profiles alongside their corresponding images and segmentation masks.
- openhcscellprofiler · microscopy
Typed, reproducible high-content microscopy workflows across GUI, Python, CellProfiler, Napari/Fiji, GPU, and local MCP agents.
- scmorphmorphological-profiling
Single-cell morphological analysis
- amfinderimage-analysis · microscopy
The Automatic Mycorrhiza Finder (AMFinder) allows for automatic computer vision-based identification and quantification of AM fungal colonisation and intraradical hyphal structures on ink-stained…
- api.github.com/repos/cytomining/pycytominerretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2026-08-05, 144 stars, license reported as BSD-3-Clause. Category and schematic were assigned by keyword heuristics and are unreviewed.
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/v1/entries/6.json→ .entries["pycytominer"]
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