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Automated estimation of cancer cell deformability with machine learning and acoustic trapping

Cell deformability is a useful feature for diagnosing various diseases (e.g., the invasiveness of cancer cells). Existing methods commonly inflict pressure on cells and observe changes in cell areas, diameters, or thickness according to the degree of pressure. Then, the Young’s moduli (i.e., a measu...

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Detalles Bibliográficos
Autores principales:	Lee, O-Joun, Lim, Hae Gyun, Shung, K. Kirk, Kim, Jin-Taek, Kim, Hyung Ham
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Nature Publishing Group UK 2022
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9046201/ https://www.ncbi.nlm.nih.gov/pubmed/35477742 http://dx.doi.org/10.1038/s41598-022-10882-w

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