An open-source solution for advanced imaging flow cytometry data analysis using machine learning

•Imaging flow cytometry enables potentially powerful, multiplexed single-cell analysis.•Data analysis techniques for imaging flow cytometry are largely manual and subjective.•Our machine learning workflow identifies phenotypes in imaging flow cytometry.•The workflow uses open-source software and does not require computational expertise.