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Label-free cell cycle analysis for high-throughput imaging flow cytometry
Imaging flow cytometry combines the high-throughput capabilities of conventional flow cytometry with single-cell imaging. Here we demonstrate label-free prediction of DNA content and quantification of the mitotic cell cycle phases by applying supervised machine learning to morphological features ext...
Gorde:
| Argitaratua izan da: | Nat Commun |
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| Egile Nagusiak: | , , , , , , , , , |
| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
Nature Publishing Group
2016
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| Gaiak: | |
| Sarrera elektronikoa: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4729834/ https://ncbi.nlm.nih.gov/pubmed/26739115 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/ncomms10256 |
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