Cell morphology-based machine learning models for human cell state classification

Abstract Herein, we implement and access machine learning architectures to ascertain models that differentiate healthy from apoptotic cells using exclusively forward (FSC) and side (SSC) scatter flow cytometry information. To generate training data, colorectal cancer HCT116 cells were subjected to m...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Yi Li, Chance M. Nowak, Uyen Pham, Khai Nguyen, Leonidas Bleris
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
Materias:
Acceso en línea:https://doaj.org/article/f1e3a60d60654b6bbac2e007e799a270
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!