MOVIE CRUNCHING IN BIOLOGICAL DYNAMIC IMAGING

Jean-Christophe Olivo-Marin*

Quantitative Image Analysis Unit, Institut Pasteur, CNRS URA 2582, 25 rue du Dr Roux, 75724 Paris, France

Comput Syst Bioinformatics Conf. August, 2006. Vol. 5, p. 13-14. Full-Text PDF

*To whom correspondence should be addressed.

Recent advances in biological imaging technologies have enabled the observation of living cells with high resolution during extended periods of time and are impacting biological research in such different areas as high-throughput image-base drug screening, cellular therapies, cell and developmental biology and gene expression studies. Deciphering the complex machinery of cell functions and dysfunction necessitates indeed large-scale multidimensional image-based assays to cover the wide range of highly variable and intricate properties of biological systems. However, understanding the wealth of data generated by multidimensional microscopy depends critically on decoding the visual information contained therein and on the availability of the tools to do so. Innovative automatic techniques to extract quantitative data from image sequences are therefore of major interest. I will present methods we have recently developed to perform the computational analysis of image sequences coming from multidimensional microscopy, with particular emphasis on tracking and motion analysis for 3D+t images sequences using active contours and multiple particle tracking.