Skip to main content

Computational bio-microscopy: extending microscopy with the help of image processing

le 11 juin 2015 à 14 h
Michael Liebling, Systems Bioimaging Lab, Idiap Research Institute (Switzerland) & UC Santa Barbara (California, USA)

Image processing in bio-microscopy is no longer confined to the post-processing stage, but has gained wide acceptance as an integral part of the image acquisition process itself, as it allows overcoming hard limits set by instrumentation and biology. In this talk, I will present our efforts to image dim and highly dynamic biological samples by boosting the temporal and spatial resolution of optical microscopes via software solutions and modified imaging protocols. Focusing on spatio-temporal image registration strategies to build 3D+time models of samples with repetitive motions, a superresolution algorithm to reconstruct image sequences from multiple low temporal resolution acquisitions, and a fast multi-channel deconvolution algorithm for multi-view imaging, I will illustrate the central role signal processing can play to advance bio-imaging with a variety of microscopy types.
 


Lieu(x) :         Amphithéatre Becquerel, Ecole Polytechnique


Contact :       Wily Supatto
                      wily.supatto at polytechnique.edu


À télécharger :       Séminaire LIEBLING.pdf - PDF