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Correlation and variational approaches for motion and diffusion estimation in fluorescence imaging

Denis Fortun 1 Chen Chen 2, 3 Perrine Paul-Gilloteaux 2, 3 François Waharte 2, 3 Jean Salamero 2, 3 Charles Kervrann 1
1 SERPICO - Space-timE RePresentation, Imaging and cellular dynamics of molecular COmplexes
Inria Rennes – Bretagne Atlantique
2 Mécanismes moléculaires du transport intracellulaire
CDC - Compartimentation et dynamique cellulaires
3 PICT-IBiSA - BioImaging Cell and Tissue Core Facility
Abstract : n this paper we compare correlation-based and variational approaches for both motion and diffusion estimation in fluo- rescence imaging. The so-called Spatio-Temporal Image Cor- relation Spectroscopy (STICS) is widely used in fluorescence imaging to recover physical parameters such as directional flow or diffusion parameters of moving molecules. In addi- tion, we have investigated recent advances in dense motion estimation techniques and their potential for applications in live cell fluorescence imaging. We propose a novel diffu- sion estimation method in a variational framework providing dense and discontinuity-preserving diffusion fields. The per- formances of the variational and STICS approaches are eval- uated in three representative biological studies. In particular, we demonstrate the accuracy of STICS in stationarity condi- tions, and we point out the advantages of dense variational estimation to accurately recover spatial and temporal discon- tinuities. Pre-processing steps and parameters influence are emphasized in the variational framework.
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Conference papers
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https://hal.inria.fr/hal-00931408
Contributor : Charles Kervrann <>
Submitted on : Wednesday, January 15, 2014 - 12:37:48 PM
Last modification on : Tuesday, July 21, 2020 - 3:58:48 AM

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  • HAL Id : hal-00931408, version 1

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INRIA | CURIE | FNCLCC | UPMC | CNRS | UMR144 | SORBONNE-UNIVERSITE | SU-SCIENCES | PSL

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Denis Fortun, Chen Chen, Perrine Paul-Gilloteaux, François Waharte, Jean Salamero, et al.. Correlation and variational approaches for motion and diffusion estimation in fluorescence imaging. EUSIPCO 2013 - European Signal Processing Conference, Sep 2013, Marrakech, Morocco. pp.1-5. ⟨hal-00931408⟩

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