A maximum likelihood method for lifetime estimation in photon counting-based fluorescence lifetime imaging microscopy

Abstract : In this paper we derive a Maximum Likelihood (ML) framework for photon counting-based fluorescence lifetime estimation in Fluorescence Lifetime Imaging Microscopy (FLIM) from the biophysical phenomenon and instrument models. Data collected at a given pixel consist of photon counts exponentially decreasing along time and are assumed to follow Poisson statistics. Both pointwise approaches and a neighborhood-wise approach are proposed to take explicitly into account the spatial correlation of data. Evaluations and comparisons are presented on simulated as well as on experimental biological image data.
Type de document :
Communication dans un congrès
Ghogho, Mounir and Zoubir, Abdelhak. EUSIPCO - European Signal Processing Conference, Sep 2013, Marrakech, Morocco. pp.1-5, 2013, 〈http://www.eurasip.org/Proceedings/Eusipco/Eusipco2013/papers/1569746181.pdf〉
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https://hal.inria.fr/hal-00931631
Contributeur : Charles Kervrann <>
Soumis le : mercredi 15 janvier 2014 - 15:17:07
Dernière modification le : jeudi 11 janvier 2018 - 06:22:23

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  • HAL Id : hal-00931631, version 1

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Anatole Chessel, François Waharte, Jean Salamero, Charles Kervrann. A maximum likelihood method for lifetime estimation in photon counting-based fluorescence lifetime imaging microscopy. Ghogho, Mounir and Zoubir, Abdelhak. EUSIPCO - European Signal Processing Conference, Sep 2013, Marrakech, Morocco. pp.1-5, 2013, 〈http://www.eurasip.org/Proceedings/Eusipco/Eusipco2013/papers/1569746181.pdf〉. 〈hal-00931631〉

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