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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| Autors principals: | , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
BMC
2026-02-01
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| Col·lecció: | BMC Bioinformatics |
| Matèries: | |
| Accés en línia: | https://doi.org/10.1186/s12859-026-06403-5 |
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