The Biological Image Analysis Unit (BIA) develops and improves on original and rigorous methodologies for the quantification of 3D multichannel image sequences in biological imaging, at the cellular and molecular level, but also at the level of organizations.
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.
Our mathematical tools are first developed in collaboration with biologists who provide images and biological questions. For this purpose, we have a P2 type laboratory for the culture and labeling of eukaryotic cells, biochemistry and molecular biology, in the perspective of microscopy experiments.
Then, our state of the art programs as well as those of other laboratories worldwide are made available to the scientific community through the free and open source software platform Icy developed in our unit. (http://icy.bioimageanalysis.org)