Robotic data acquisition with deep learning enables cell image–based prediction of transcriptomic phenotypes

Single-cell whole-transcriptome analysis is the gold standard approach to identifying molecularly defined cell phenotypes. However, this approach cannot be used for dynamics measurements such as live-cell imaging. Here, we developed a multifunctional robot, the automated live imaging and cell pickin...

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Detalles Bibliográficos
Autores principales: Jin, Jianshi, Ogawa, Taisaku, Hojo, Nozomi, Kryukov, Kirill, Shimizu, Kenji, Ikawa, Tomokatsu, Imanishi, Tadashi, Okazaki, Taku, Shiroguchi, Katsuyuki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Academy of Sciences 2022
Materias:
Biological Sciences
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9910600/
https://www.ncbi.nlm.nih.gov/pubmed/36577074
http://dx.doi.org/10.1073/pnas.2210283120

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9910600/
https://www.ncbi.nlm.nih.gov/pubmed/36577074
http://dx.doi.org/10.1073/pnas.2210283120

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