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...

Descripción completa

Detalles Bibliográficos
Autores principales: Brooks, Patrick Terrence, Munthe-Fog, Lea, Rieneck, Klaus, Banch Clausen, Frederik, Rivera, Olga Ballesteros, Kannik Haastrup, Eva, Fischer-Nielsen, Anne, Svalgaard, Jesper Dyrendom
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2021
Materias:
Research Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8632106/
https://www.ncbi.nlm.nih.gov/pubmed/34747303
http://dx.doi.org/10.1080/21623945.2021.2000696

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8632106/
https://www.ncbi.nlm.nih.gov/pubmed/34747303
http://dx.doi.org/10.1080/21623945.2021.2000696

Ejemplares similares