A Maximum Likelihood method for lifetime estimation in photon counting-based Fluorescence Lifetime Imaging Microscopy

Author

Chessel, Anatole ; Waharte, Francois ; Salamero, Jean ; Kervrann, Charles

Author_Institution

IBiSA, PICT, Paris, France

fYear

2013

fDate

9-13 Sept. 2013

Firstpage

1

Lastpage

5

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.

Keywords

biomedical optical imaging; maximum likelihood estimation; medical image processing; optical correlation; stochastic processes; Poisson statistics; biophysical phenomenon; data collection; experimental biological image data; instrument models; maximum likelihood method; neighborhood-wise approach; photon counting-based fluorescence lifetime estimation; photon counting-based fluorescence lifetime imaging microscopy; pointwise approach; spatial data correlation; Biology; Fluorescence; Maximum likelihood estimation; Microscopy; Photonics; Photon counting; Poisson statistics; fluorescence microscopy; liftetime estimation;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing Conference (EUSIPCO), 2013 Proceedings of the 21st European

Conference_Location

Marrakech

Type

conf

Filename

6811754