Paper Info
Title
Optimal Multivariate Gaussian Fitting For Psf Modeling In Two-Photon Microscopy
Abstract
Fitting multivariate Gaussian functions constitutes a fundamental task in many scientific fields. However, most of the existing approaches for performing such fitting are restricted to 2 dimensions and they cannot be easily extended to higher dimensions. One of the main applicative areas where it is necessary to go beyond the existing techniques is the modeling of Point Spread Functions in 3D imaging. In this paper, a novel variational approach is proposed to fit multivariate Gaussians from noisy data in arbitrary dimensions. The proposed FIGARO algorithm is applied to two-photon fluorescence microscopy where its excellent performance is demonstrated.
Year
Venue
Keywords
2018
2018 IEEE 15TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI 2018)
PSF identification, image restoration, two-photon microscopy, proximal methods, optimization
Field
DocType
ISSN
Noisy data,Pattern recognition,Computer science,Multivariate statistics,Multivariate normal distribution,Artificial intelligence,Image restoration,Two-photon excitation microscopy
Conference
1945-7928
Citations 
PageRank 
References 
0
0.34
0
Authors
4
Name
Order
Citations
PageRank
Tim Tsz-Kit Lau100.34
Emilie Chouzenoux220226.37
Claire Lefort300.68
Jean-Christophe Pesquet41811.52