ColonyQuant: automated quantification and morphometric analysis of pluripotent stem cell colonies

Abstract Quantitative image analysis is essential for advancing stem cell biology, developmental studies, and drug discovery, yet most workflows still rely on manual or semi-quantitative scoring that is slow, subjective, and poorly scalable. A major challenge is converting complex colony morphologie...

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Bibliografski detalji

Glavni autori:	Rui Geng, Benjamin L. Kidder
Format:	Artigo
Jezik:	Inglês
Izdano:	BMC 2026-02-01
Serija:	BMC Bioinformatics
Teme:	Embryonic stem cells Pluripotency Alkaline phosphatase staining Colony morphology Image analysis Automated image analysis
Online pristup:	https://doi.org/10.1186/s12859-026-06403-5
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