Team
Space-time Imaging, Artificial Intelligence and Computing for Cellular and Chemical Biology (SAIRPICO)
Thematic areas of research:
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Team
CHARLES KERVRANN
Space-time Imaging, Artificial Intelligence and Computing for Cellular and Chemical Biology (SAIRPICO)
The aim of the team is to develop computational methods and artificial intelligence algorithms to solve image reconstruction problems, as well as to quantify molecular mobility and interactions at very high spatial resolution and on the scale of the single cell. We design novel imaging approaches that will not only provide novel information about endocytosis, but will have the potential to be applied to all topics where the spatial and molecular organization of lipids/proteins defines both the structure and function of these assemblies in reconstituted systems and in living cells, with applications nanomedicine.
Members
Key publications
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DCT2net: An Interpretable Shallow CNN for Image DenoisingIEEE Transactions on Image Processing
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Statistical analysis of particle trajectories in living cellsPhysical Review E
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Piecewise-Stationary Motion Modeling and Iterative Smoothing to Track Heterogeneous Particle Motions in Dense EnvironmentsIEEE Transactions on Image Processing
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A Guided Tour of Selected Image Processing and Analysis Methods for Fluorescence and Electron MicroscopyIEEE Journal of Selected Topics in Signal Processing
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Fast live simultaneous multiwavelength four-dimensional optical microscopyProceedings of the National Academy of Sciences
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Patch-Based Nonlocal Functional for Denoising Fluorescence Microscopy Image SequencesIEEE Transactions on Medical Imaging
News
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