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Conference Papers Year : 2013

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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Dates and versions

hal-00931631 , version 1 (15-01-2014)

Identifiers

  • HAL Id : hal-00931631 , version 1

Cite

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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