Due to the physical barrier imposed by light diffraction, state-of-the standard fluorescence microscopy techniques do not allow the observation of entities smaller than ~200nm. To go over such limitation, popular techniques make use of advanced acquisition protocols and devices often requiring lots of data and possibly harming the sample under observation. Computational microscopy aims at breaking such limit and retrieve informative image contents by exploiting physical modelling and advanced numerical reconstruction procedures. We consider this framework for tackling 2D/3D+t fluorescence microscopy problems arising in several fields such as biology and material science.

Luca Calatroni DIBRIS, Università di Genova

Giuseppe VicidominiIIT, Italy
Sebastian Schaub CNRS, France
Laure Blanc-Féraud CNRS, France
Stefania Cacovich CNRS, France