Our lab develops state-of-the-art techniques using machine learning and computer vision to harness the high-dimensional phenotypic data and spatial information obtained with MIBI. Active areas of research include segmentation and classification of cells to produce spatial maps of single cell phenotypes, identification of cell neighborhoods and multicellular structures and prediction of patient outcome.
