Project-Team:SERPICO

Project-Team Serpico

Members

Overall Objectives

Glossary
Scientific context and motivations
Objectives in cell imaging
Main challenges in image processing for multimodal and multidimensional microscopy
Organization and collaborations

Research Program

Statistics and algorithms for computational microscopy
From image data to descriptors: dynamic analysis and trajectory computation
From models to image data: simulation and modelling of membrane transport

Application Domains

Modeling and analysis of membrane transport and molecule trafficking at the single cell scale
Imaging and analysis of cytokskeleton dynamics during cell migration

Highlights of the Year

New Software and Platforms

TMA-Lib
QuantEv
C-CRAFT
ATLAS
Hullkground
Motion2D
ND-SAFIR
F2D-SAFIR
TubuleJ
Cryo-Seg
Platforms

New Results

Statistical aggregation methods for image denoising and estimation
Algorithms for dejittering and deconvolving large fluorescence and Tissue MicroArray (TMA) images
Quantifying the spatial distribution of intracellular events
Correlation-based method for membrane diffusion estimation during exocytosis in TIRFM
Colocalization for live cell and super-resolution imaging
Classification of diffusion dynamics from particle trajectories
Inference for spatial Gibbs point processes
Statistical aspects of Determinantal Point Processes
Modeling aggregation and regularity in spatial point pattern datasets
Multi-scale spot segmentation with automatic selection of image scales
Multi-modal registration for correlative light-electron microscopy
Denoising and compensation of the missing wedge in cryo electron tomography
Spatially-variant kernel for optical flow under low signal-to-noise ratios
Frame-based hierarchical motion decomposition and segmentation
Trajectory-based discovery of motion hierarchies in video sequences

Bilateral Contracts and Grants with Industry

Bilateral Contracts with Industry
Bilateral grants with industry

Partnerships and Cooperations

Regional Initiatives
National Initiatives
European Initiatives
International Initiatives
International Research Visitors

Dissemination

Promoting Scientific Activities
Teaching - Supervision - Juries

Bibliography

Major publications
Publications of the year
References in notes

Inria | Raweb 2016 | Presentation of the Project-Team SERPICO | SERPICO Web Site


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Section: New Software and Platforms

TMA-Lib

Keyword: Biomedical imaging

Functional Description: The TMA-Lib enables to jointly detect (adaptive wavelet transform), segment (parametric active contours) and restore (artifact correction and deconvolution) TMA (Tissue MicroArrays) images.

Participants: Hoai Nam Nguyen, Charles Kervrann.
Partner: INNOPSYS Company.
Contact: Charles Kervrann.
Languages: C/C++, Matlab.

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