High accuracy label-free classifcation of single-cell kinetic states from holographic cytometry of human melanoma cells
Journal: Scientific Reports (2017)
Institution: University of California, San Francisco
Research Areas: Cancer research
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.