Three-dimensional state space realization algorithm: noise suppression of fluorescence microscopy images and point spread functions

被引：2

作者：

Lai, XM ^{[1
]}

Ward, ES ^{[1
]}

Lin, ZP ^{[1
]}

Ober, RJ ^{[1
]}

机构：

[1] Univ Texas, SW Med Ctr, Ctr Immunol, Dallas, TX 75235 USA

来源：

Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing XII | 2005年 / 5701卷

关键词：

point spread function; estimation; state space algorithm; noise suppression;

D O I：

10.1117/12.587051

中图分类号：

TH742 [显微镜];

学科分类号：

摘要：

A recently developed algorithm is applied to calculate a state space realization of a 3D microscopy image set. It is based on interpreting the image set as the impulse response of a 3D se arable system. As an application it is shown how this algorithm. combined with approximation steps, can be used to suppress noise in 3D experimental point spread functions. The approach was motivated by a well known problem that a noisy point spread function degrades the results of deconvolution algorithms for the restoration of 3D fluorescence microscopy image sets. The proposed approach can also be applied to 3D fluorescence microscopy image sets of cells.

引用

页码：53 / 60

页数：8

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