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

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.
Type de document :
Communication dans un congrès
EUSIPCO 2013 - European Signal Processing Conference, Sep 2013, Marrakech, Morocco. Eurasip, pp.1-5, 2013, 〈http://www.eurasip.org/Proceedings/Eusipco/Eusipco2013/papers/1569744517.pdf〉
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https://hal.inria.fr/hal-00931408
Contributeur : Charles Kervrann <>
Soumis le : mercredi 15 janvier 2014 - 12:37:48
Dernière modification le : jeudi 22 novembre 2018 - 14:25:13

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  • HAL Id : hal-00931408, version 1

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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. Eurasip, pp.1-5, 2013, 〈http://www.eurasip.org/Proceedings/Eusipco/Eusipco2013/papers/1569744517.pdf〉. 〈hal-00931408〉

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