Jean-Christophe Olivo-Marin, Institut Pasteur
Cells, images and numbers
Thursday, October 20th 2011. 4pm, CS1.01
I will present specific methods and algorithms for the processing and quantification of 2- and 3-D+t images sequences in biological microscopy and demonstrate algorithms of PSF approximations for image deconvolution, image segmentation, multi-particle tracking and active contours models for cell shape and deformation analysis. One specific goal in biological imaging is indeed to automate the quantification of dynamics parameters or the characterization of phenotypic and morphological changes occurring as a consequence of cell/cell or pathogens/host cells interactions. The availability of this information and its thorough analysis is of key importance to help deciphering the underlying molecular mechanisms. I will illustrate our methods in projects related to the study of the dynamics of genes in cell nuclei, the movement of parasites in cells and the detection and tracking of microbes in cells.
J.-C. Olivo-Marin, PhD, is the head of the Quantitative Image Analysis Unit at the Institut Pasteur. He was a co-founder and Chief Technology Officer of the Institut Pasteur Korea, Seoul. He has a long experience of multi-disciplinary approaches in biological imaging, and his research interests are in image analysis of multidimensional microscopy images, pattern recognition and motion analysis for cellular dynamics studies. He is a member of the Bio Imaging and Signal Processing Technical Committee (BISP-TC) of the IEEE Signal Processing Society.