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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| Автори: | , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
BMC
2026-02-01
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| Серія: | BMC Bioinformatics |
| Предмети: | |
| Онлайн доступ: | https://doi.org/10.1186/s12859-026-06403-5 |
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