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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...
| Autores principales: | , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
National Academy of Sciences
2022
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| Materias: | |
| 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 |