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...

תיאור מלא

שמור ב:
מידע ביבליוגרפי
הוצא לאור ב:Ann Transl Med
Main Authors: Wang, Ruixin, Wang, Dongni, Kang, Dekai, Guo, Xusen, Guo, Chong, Dongye, Meimei, Zhu, Yi, Chen, Chuan, Zhang, Xiayin, Long, Erping, Wu, Xiaohang, Liu, Zhenzhen, Lin, Duoru, Wang, Jinghui, Huang, Kai, Lin, Haotian
פורמט: Artigo
שפה:Inglês
יצא לאור: AME Publishing Company 2020
נושאים:
Original Article on Medical Artificial Intelligent Research
גישה מקוונת: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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