Application of a deep learning-based image analysis and live-cell imaging system for quantifying adipogenic differentiation kinetics of adipose-derived stem/stromal cells
Quantitative methods for assessing differentiative potency of adipose-derived stem/stromal cells may lead to improved clinical application of this multipotent stem cell, by advancing our understanding of specific processes such as adipogenic differentiation. Conventional cell staining methods are us...
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Auteurs principaux: | , , , , , , , |
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Format: | article |
Langue: | EN |
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Taylor & Francis Group
2021
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Accès en ligne: | https://doaj.org/article/bff1e437b2dc439eaaae392b6254a39b |
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