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

Biology

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

Y. Li, C. M. Nowak, et al.

This groundbreaking research by Yi Li, Chance M. Nowak, Uyen Pham, Khai Nguyen, and Leonidas Bleris introduces an automated and stain-free method that leverages machine learning to differentiate between healthy and apoptotic cells using flow cytometry data. The multilayer perceptron model demonstrated exceptional performance in classifying live cells, marking a significant advancement over traditional flow cytometry techniques.

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