Human-machine collaboration on the quantitative spatial analysis of tumor infiltrating lymphocytes using highly multiplexed tissue imaging

Discussion points:

• Interactive visualization and computational analysis of high-dimensional immunofluorescence slide microscopy imaging data for cancer research and molecular cancer diagnostics;
• Combination of human expert annotation, machine learning-based computer vision, and spatial statistics for quantitative single-cell analysis to describe and model patterns of immune cell infiltrates and interactions between individual cells in spatial tissue context;
• Discovery and development of quantitative tissue imaging biomarkers for molecularly targeted therapy and immunotherapy.