Cytomining Ecosystem

In this session, you’ll see how a modular ecosystem of open-source tools from the Cytomining organization such as DeepProfiler, Pycytominer, CytoTable, coSMicQC, and CytoDataFrame can be composed into reproducible, scalable workflows for image-based profiling. Together, these tools link every stage of the data lifecycle, from feature extraction and harmonization to quality control, visualization, and analysis. Built on shared open standards and transparent design, this ecosystem exemplifies the practice of opensource science where software, data, and methods are openly developed, tested, and improved by the community. By promoting interoperability and reproducibility, these tools allow researchers to build upon one another’s work, adapt workflows to new biological questions, and scale from small experiments to large imaging screens. The Cytomining organization tools demonstrate how collaborative, open infrastructure can accelerate discovery and make image-based profiling more accessible, transparent, and sustainable.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-10-27
DOI
https://doi.org/10.5281/zenodo.17524862
Primary Topic
Cell Image Analysis Techniques
Type
article
Field-Weighted Citation Impact
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article

Cytomining Ecosystem

Zenodo (CERN European Organization for Nuclear Research)
Cell Image Analysis Techniques
article

Cytomining Ecosystem

article en

Abstract

In this session, you’ll see how a modular ecosystem of open-source tools from the Cytomining organization such as DeepProfiler, Pycytominer, CytoTable, coSMicQC, and CytoDataFrame can be composed into reproducible, scalable workflows for image-based profiling. Together, these tools link every stage of the data lifecycle, from feature extraction and harmonization to quality control, visualization, and analysis. Built on shared open standards and transparent design, this ecosystem exemplifies the practice of opensource science where software, data, and methods are openly developed, tested, and improved by the community. By promoting interoperability and reproducibility, these tools allow researchers to build upon one another’s work, adapt workflows to new biological questions, and scale from small experiments to large imaging screens. The Cytomining organization tools demonstrate how collaborative, open infrastructure can accelerate discovery and make image-based profiling more accessible, transparent, and sustainable.

Zenodo (CERN European Organization for Nuclear Research)
University of Wisconsin–Madison (US), New York Stem Cell Foundation (US), University of Colorado Anschutz Medical Campus (US)
Industry, innovation and infrastructure
Openalex Percentile: Top 28%
Cell Image Analysis Techniques
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