Multidimensional and multimodal light microscopy combined with GFP (Green Fluorescence Protein) tagging has taken a prominent role in life science research due to its ability to study in vitro and in vivo biomolecules in the cell compartments and cell domains.
The main objective of SERPICO team is to decipher the dynamic coordination and organization of molecular complexes at the single cell level. Our first aim is to foster dedicated technological and methodological developments to build an integrated imaging approach that bridges the resolution gaps between the molecule and the whole cell, including their temporal behavior. While we will focus on particular biological models of endo-membrane biogenesis and trafficking in the endosomal-recycling pathway of specialized cells, most of results and developments will apply in different fields of cell and integrative biology. A global and pluridisciplinary (applied mathematics, computer science, biology, physics ...) approach is necessary to identify the molecular processes resulting in pathological situations (cancer, degenerative diseases ...), as well as to validate future therapeutic agents.
In collaboration with UMR 144 CNRS Institut Curie ("Subcellular Structure and Cellular Dynamics" Unit and PICT (Cell and Tissue Imaging Facilities) -IBiSA), SERPICO team provides computational methods and mathematical models to automatically extract, organize and model information present in temporal series of images as they are obtained in multidimensional light microscopy.