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Tutorial - Quantitative biological imaging: from cells to numbers

Monday, November 14, 2011 - 9:00am - 10:00am
Keller 3-180
Jean-Christophe Olivo-Marin (Institut Pasteur)
The lecture will present biological imaging topics ranging from fundamentals in microscopy to specific methods and algorithms for the processing and quantification of 2- and 3-D+t images sequences in biological microscopy. We will demonstrate algorithms of PSF approximations for image deconvolution, image segmentation, multi-particle tracking and active contours models for cell shape and deformation analysis. We will illustrate the application of 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. 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 indeed of key importance to help deciphering underlying molecular mechanisms of e.g. infectious diseases.