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An artificial intelligent platform for live cell identification and the detection of cross-contamination
BACKGROUND: About 30% of cell lines have been cellular cross-contaminated and misidentification, which can result in invalidated experimental results and unusable therapeutic products. Cell morphology under the microscope was observed routinely, and further DNA sequencing analysis was performed peri...
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| Publicat a: | Ann Transl Med |
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| Autors principals: | , , , , , , , , , , , , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
AME Publishing Company
2020
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7327366/ https://ncbi.nlm.nih.gov/pubmed/32617317 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.21037/atm.2019.07.105 |
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