Machine Learning Assisted Classification of Cell Lines and Cell States on Quantitative Phase Images

In this report, we present implementation and validation of machine-learning classifiers for distinguishing between cell types (HeLa, A549, 3T3 cell lines) and states (live, necrosis, apoptosis) based on the analysis of optical parameters derived from cell phase images. Validation of the developed c...

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Detalles Bibliográficos
Autores principales: Belashov, Andrey V., Zhikhoreva, Anna A., Belyaeva, Tatiana N., Salova, Anna V., Kornilova, Elena S., Semenova, Irina V., Vasyutinskii, Oleg S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8533984/
https://www.ncbi.nlm.nih.gov/pubmed/34685568
http://dx.doi.org/10.3390/cells10102587

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8533984/
https://www.ncbi.nlm.nih.gov/pubmed/34685568
http://dx.doi.org/10.3390/cells10102587

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