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

Authors: M. Hejna et al.

Journal: Scientific Reports (2017)

Institution: University of California, San Francisco

Research Areas: Melanoma

Cell Lines: A375 (Human melanoma cell line)

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

Keywords: HoloMonitor M4, Cell morphology

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