@inproceedings{d7c50f7a715f4bc1a63a68f4cbcb9a76,
title = "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.",
keywords = "Photon counting, Poisson statistics, fluorescence microscopy, liftetime estimation",
author = "A. Chessel and F. Waharte and J. Salamero and C. Kervrann",
year = "2013",
month = jan,
day = "1",
language = "English",
isbn = "9780992862602",
series = "European Signal Processing Conference",
publisher = "European Signal Processing Conference, EUSIPCO",
booktitle = "2013 Proceedings of the 21st European Signal Processing Conference, EUSIPCO 2013",
note = "2013 21st European Signal Processing Conference, EUSIPCO 2013 ; Conference date: 09-09-2013 Through 13-09-2013",
}