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Tools

The Cytomining ecosystem provides a suite of production-ready tools for every stage of the image-based profiling workflow.

For upcoming capabilities and in-progress projects, see the Roadmap, which includes our experimental tools under active development.

copairs PyPI version for copairs GitHub stars for cytomining/copairs

Downstream evaluation — measures how reproducibly perturbation profiles retrieve their matched replicates, quantifying profile quality and similarity.

coSMicQC icon coSMicQC PyPI version for cosmicqc GitHub stars for cytomining/coSMicQC

Quality control step — flags and removes low-quality cells before profile processing to prevent artifacts from propagating downstream.

CytoDataFrame icon CytoDataFrame PyPI version for cytodataframe GitHub stars for cytomining/CytoDataFrame

Interactive exploration — view and inspect morphology profiles alongside their source cell images directly in Jupyter notebooks.

CytoTable icon CytoTable PyPI version for cytotable GitHub stars for cytomining/CytoTable

Upstream ingestion — converts raw CellProfiler, DeepProfiler, and IN Carta outputs into scalable, analysis-ready Parquet tables.

DeepProfiler GitHub stars for cytomining/DeepProfiler

Alternative feature extraction — deep learning embeddings from raw microscopy images, bypassing classical segmentation-and-measurement pipelines.

Pycytominer icon Pycytominer PyPI version for pycytominer GitHub stars for cytomining/pycytominer

Core processing pipeline — aggregates, normalizes, and feature-selects morphology profiles for downstream analysis.