Speaker
Alberto Diaspro
(Department of Physics - University of Genoa)
Description
Multimodal optical microscopy has recently converged with artificial intelligence (AI) to the computational prediction of fluorescence‑based molecular
contrast from label‑free measurements. Fluorescence plays a crucial role in linking microscopy and spectroscopy at molecular level, enabling image formation from the cellular to the molecular detail. A challenging development in this field is the coupling of fluorescence with label-free polarization and phase optical methods. We will discuss how this convergence, together with modern generative
modeling for in‑silico labeling, is turning the optical microscope into an intelligent Instrument that we name artificial microscope.
Primary author
Alberto Diaspro
(Department of Physics - University of Genoa)
