Section: Overall Objectives

Objectives in cell imaging

Facing the amount of information provided by high-throughput multidimensional microscopy, the serpico team investigates computational and statistical models to better elucidate the role of specific proteins inside their multiprotein complexes and to help to decipher the dynamic coordination and organization of molecular complexes at the single cell level. We investigate image processing methods, mathematical models, and algorithms to build an integrated imaging approach that bridges the resolution gaps between the molecule and the whole cell, in space and time [45] . We address the following topics:

• image superresolution/image denoising required to preserve cell integrity (photo-toxicity versus exposure time) and image analysis in multidimensional microscopy;

• spatio-temporal modelling of molecular species and multiscale architectures (e.g. multiscale registration of electron and light microscopy images to study molecule interactions in space and time);

• computational simulation and modelling of molecule trafficking at different spatial and temporal scales (e.g. biophysical model assimilation for dynamic representation in video-microscopy and prediction in biology).

We focus on the cellular and molecular mechanisms involved in membrane transport and trafficking at the scale of a single cell.