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

M. Hejna et al.

Scientific Reports (2017)

Institution: University of Illinois at Urbana-Champaign, USA

Cell Line: A375 (Human melanoma cell line)

Research Area: Melanoma

Tags: HoloMonitor M4, Digital holographic cytometry

Conclusions: The authors used singel-cell tracking and machine learning to develop a robust method for label-free classification of adherent cells.

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