Blind deconvolution for thin-layered confocal imaging

被引：33

作者：

Pankajakshan, Praveen ^{[1
]}

Zhang, Bo ^{[2
]}

Blanc-Feraud, Laure ^{[1
]}

Kam, Zvi ^{[3
]}

Olivo-Marin, Jean-Christophe ^{[2
]}

Zerubia, Josiane ^{[1
]}

机构：

[1] INRIA CNRS, Ariana Project Team, F-06902 Sophia Antipolis, France

[2] Inst Pasteur, Quantitat Image Anal Unit, F-75015 Paris, France

[3] Weizmann Inst Sci, Dept Mol Cell Biol, IL-76100 Rehovot, Israel

来源：

APPLIED OPTICS | 2009年 / 48卷 / 22期

关键词：

POINT-SPREAD FUNCTION; MAXIMUM-LIKELIHOOD; OPTICAL MICROSCOPY; RESTORATION; RECONSTRUCTION; ALGORITHM;

D O I：

10.1364/AO.48.004437

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

We propose an alternate minimization algorithm for estimating the point-spread function (PSF) of a confocal laser scanning microscope and the specimen fluorescence distribution. A three-dimensional separable Gaussian model is used to restrict the PSF solution space and a constraint on the specimen is used so as to favor the stabilization and convergence of the algorithm. The results obtained from the simulation show that the PSF can be estimated to a high degree of accuracy, and those on real data show better deconvolution as compared to a full theoretical PSF model. (C) 2009 Optical Society of America

引用

页码：4437 / 4448

页数：12

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