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Proceedings Paper

Three-dimensional state space realization algorithm: noise suppression of fluorescence microscopy images and point spread functions
Author(s): Xuming Lai; E. Sally Ward; Zhiping Lin; Raimund J. Ober
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Paper Abstract

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 separable 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.

Paper Details

Date Published: 24 March 2005
PDF: 8 pages
Proc. SPIE 5701, Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing XII, (24 March 2005); doi: 10.1117/12.587051
Show Author Affiliations
Xuming Lai, Univ. of Texas Southwestern Medical Ctr. (United States)
Univ. of Texas/Dallas (United States)
E. Sally Ward, Univ. of Texas Southwestern Medical Ctr. (United States)
Zhiping Lin, Nanyang Technological Univ. (Singapore)
Raimund J. Ober, Univ. of Texas Southwestern Medical Ctr. (United States)
Univ. of Texas/Dallas (United States)


Published in SPIE Proceedings Vol. 5701:
Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing XII
Jose-Angel Conchello; Carol J. Cogswell; Tony Wilson, Editor(s)

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