High accuracy label-free classifcation of single-cell kinetic states from holographic cytometry of human melanoma cells

M. Hejna et al.

scientific reports (2017)

Institution: University of California, USA

Cell Line: A375 (Human melanoma cell line)

Research Area: Melanoma

Tags: HoloMonitor M4, Cell morphology

Conclusions: The authors used machine learning to develop a method for robust and kinetic label-free classification of single adherent cells info functional states.