The Bioimage Analysis unit (BIA) develops and designs original and rigorous quantitative image analysis and computer vision methods to quantify multi-channel temporal 3D sequences in biological imaging, especially at cellular and molecular scales, but also at the level of organisms. This includes the spatial analysis of biomolecules, the dynamics of sub-cellular organelles, the biophysics of cell motility, the spatio-temporal orchestration of cellular trafficking, the spreading of pathogens or the analysis of social behaviour in mice. Our work focuses on mathematical imaging, biophysically augmented optical flow, active contours models, spatial statistics and deep learning. We also work on digital pathology and colour image analysis. We have developed a free open source software package (Icy) that makes it available to the scientific community state-of-the-art programs developed by the team and by laboratories worldwide.