High accuracy label-free classification of single-cell kinetic states from holographic cytometry of human melanoma cells
Scientific Reports (2017)
Institution: University of Illinois at Urbana-Champaign, USA
Cell Line: A375 (Human melanoma cell line)
Research Area: Melanoma
Conclusions: The authors used singel-cell tracking and machine learning to develop a robust method for label-free classification of adherent cells.