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.
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Conference papers
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https://hal.inria.fr/hal-00931631
Contributor : Charles Kervrann <>
Submitted on : Wednesday, January 15, 2014 - 3:17:07 PM
Last modification on : Tuesday, May 28, 2019 - 1:40:53 AM

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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. EUSIPCO - European Signal Processing Conference, Sep 2013, Marrakech, Morocco. pp.1-5. ⟨hal-00931631⟩

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