Depth-variant deconvolution of 3D widefield fluorescence microscopy using the penalized maximum likelihood estimation method

被引：18

作者：

Kim, Jeongtae ^{[1
]}

An, Suhyeon ^{[1
]}

Ahn, Sohyun ^{[1
]}

Kim, Boyoung ^{[1
]}

机构：

[1] Ewha Womans Univ, Dept Elect Engn, Seoul, South Korea

来源：

OPTICS EXPRESS | 2013年 / 21卷 / 23期

关键词：

EXPECTATION MAXIMIZATION ALGORITHM; RESTORATION ALGORITHMS; BLIND DECONVOLUTION; IMAGE-RESTORATION; RECONSTRUCTION; MODEL;

D O I：

10.1364/OE.21.027668

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

We investigated the deconvolution of 3D widefield fluorescence microscopy using the penalized maximum likelihood estimation method and the depth-variant point spread function (DV-PSF). We build the DV-PSF by fitting a parameterized theoretical PSF model to an experimental microbead image. On the basis of the constructed DV-PSF, we restore the 3D widefield microscopy by minimizing an objective function consisting of a negative Poisson likelihood function and a total variation regularization function. In simulations and experiments, the proposed method showed better performance than existing methods. (C) 2013 Optical Society of America

引用

页码：27668 / 27681

页数：14

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