Jean-Christophe Olivo-Marin is the CTO and Director of the Center for Innovation and Technological Research and the director of the institute Carnot Pasteur Microbes et Santé. He also heads the BioImage Analysis Unit. He was a staff scientist at the European Molecular Biology Laboratory, Heidelberg, from 1990 to 1998. He received the PhD and HDR degrees in optics and signal processing from the Institut d’Optique Théorique et Appliquée, University of Paris-Orsay, France. He is a Fellow of IEEE and of SPIE, an IEEE Signal Processing Society Distinguished Lecturer, and was Chair of the IEEE SPS Bio Imaging and Signal Processing Technical Committee (BISP-TC). His research interests are in image analysis of multidimensional microscopy images, computer vision and motion analysis for cellular dynamics, and in mathematical approaches for biological imaging.
Digital Image Processing/Analysis Tools for Quantitative Light Microscopy Imaging
A 5-day practical course, scheduled to take place at the Hellenic Pasteur Institute, Athens Greece, in July 4-8, 2016, with objective to provide theoretical and practical training in basic and advanced concepts and methods […]
INCEPTION – Institut Convergence for the study of Emergence of Pathology Through Individuals and Populations
Inception Goal The Inception’s goal is to develop a core structure to mobilize data resources, numerical sciences, and fundamental experimental biology in a range of health issues. Inception program uses Integrative Biology, Social Science […]
The Quantitative Biology program of the Institut Pasteur is intended to facilitate research and education at the interface of biology and the more quantitative sciences. One of the major aims of Quantitative Biology is thus to […]
Welcome to the club! Welcome to Microfluidics@Pasteur! Our goal is to serve as the major entry point to all the scientists on the campus (beginners and experts) interested in undertaking projects where microfluidics is involved. Our […]
Protected: Pasteur Human Genome
There is no excerpt because this is a protected post.
Compressive Sensing in biological imaging
We are investigating a new global framework for smart acquisition methods in biological imaging whereby it is possible with mathematical tools to recover a high quality image from very fewer samples than the full […]
Imaging and mathematical modelling of cell morphology and motility
Elucidating the mechanisms underlying cell deformation and motility is a topic of major interest in cell biology, for they are strongly involved in cell development, immune responses, cancer and infectious diseases. This projects focuses on the […]
Multiple spot tracking in 3D+t microscopy
We have developed a method to perform the detection and the tracking of microscopic spots directly on four dimensional (3D+t) image data. It extends our previous work by being able to detect with high […]
Color image analysis in histology
To characterize histopathological images stained by different colorations, we have developed a system to analyse color images. Images are segmented by a split and merge approach and by color quantization, to reduce color classes. We have also defined a criterion to choose […]
Icy: an open community platform for bioimage informatics
We started a project for a new open-source image processing software platform dedicated to community work (de Chaumont et al, Nature Methods 2012). It includes a flexible framework designed around and with a native […]
2017Legionella pneumophila Modulates Mitochondrial Dynamics to Trigger Metabolic Repurposing of Infected Macrophages, Cell Host Microbe 2017 Sep;22(3):302-316.e7.
2017A sparsity-based simplification method for segmentation of spectral-domain optical coherence tomography images, Proc. SPIE 10394, Wavelets and Sparsity XVII, 1039406 (24 August 2017); doi: 10.1117/12.2274126;.
2017Reducing data acquisition for fast structured illumination microscopy using compressed sensing, 10.1109/ISBI.2017.7950461.
2017Amotl1 mediates sequestration of the Hippo effector Yap1 downstream of Fat4 to restrict heart growth, Nat Commun 2017 Feb;8:14582.
2016Sparsity-based simplification of spectral-domain optical coherence tomography images of cardiac samples, 10.1109/ISBI.2016.7493286.
2016Anxiety- and Depression-Like States Lead to Pronounced Olfactory Deficits and Impaired Adult Neurogenesis in Mice, J. Neurosci. 2016 Jan;36(2):518-31.
2015Image denoising by adaptive Compressed Sensing reconstructions and fusions, Proc. SPIE 9597, Wavelets and Sparsity XVI, 95970X (September 11, 2015); doi:10.1117/12.2188648.
2015Absence of Fungal Spore Internalization by Bronchial Epithelium in Mouse Models Evidenced by a New Bioimaging Approach and Transmission Electronic Microscopy, Am. J. Pathol. 2015 Sep;185(9):2421-30.
2015Image denoising by multiple Compressed Sensing reconstructions, 10.1109/ISBI.2015.7164096.
2015Social communication in mice–are there optimal cage conditions?, PLoS ONE 2015;10(3):e0121802.
+View full list of publications