Label‐free quality control and identification of human keratinocyte stem cells by deep learning‐based automated cell tracking

Stem cell‐based products have clinical and industrial applications. Thus, there is a need to develop quality control methods to standardize stem cell manufacturing. Here, we report a deep learning‐based automated cell tracking (DeepACT) technology for noninvasive quality control and identification o...

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Detalles Bibliográficos
Autores principales: Hirose, Takuya, Kotoku, Jun'ichi, Toki, Fujio, Nishimura, Emi K., Nanba, Daisuke
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2021
Materias:
Tissue‐specific Stem Cells
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8359832/
https://www.ncbi.nlm.nih.gov/pubmed/33783921
http://dx.doi.org/10.1002/stem.3371

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8359832/
https://www.ncbi.nlm.nih.gov/pubmed/33783921
http://dx.doi.org/10.1002/stem.3371

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