
Proceedings Paper
Comparison of computational methods developed to address depth-variant imaging in fluorescence microscopyFormat | Member Price | Non-Member Price |
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Paper Abstract
In three-dimensional microscopy, the image formation process is inherently depth variant (DV) due to the refractive
index mismatch between the imaging layers. In this study, we present a quantitative comparison among different image
restoration techniques developed based on a depth-variant (DV) imaging model for fluorescence microscopy. The
imaging models employed by these methods approximate DV imaging by either stratifying the object space (analogous
to the discrete Fourier transform (DFT) “overlap-add” method) or image space (analogous to the DFT “overlap-save”
method). We compare DV implementations based on maximum likelihood (ML) estimation and a previously developed
expectation maximization algorithm to a ML conjugate gradient algorithm, using both these stratification approaches in
order to assess their impact on the restoration methods. Simulations show that better restoration results are achieved
with iterative methods implemented using the overlap-add method than with their implementation using the overlap-save
method. However, the overlap-save method makes it possible to implement a non-iterative DV inverse filter that can
trade off accuracy of the achieved result for computational speed. Results from a non-iterative regularized inverse
filtering approach are also presented.
Paper Details
Date Published: 22 February 2013
PDF: 7 pages
Proc. SPIE 8589, Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing XX, 85890A (22 February 2013); doi: 10.1117/12.2005227
Published in SPIE Proceedings Vol. 8589:
Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing XX
Carol J. Cogswell; Thomas G. Brown; Jose-Angel Conchello; Tony Wilson, Editor(s)
PDF: 7 pages
Proc. SPIE 8589, Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing XX, 85890A (22 February 2013); doi: 10.1117/12.2005227
Show Author Affiliations
Muhammad Mizanur Rahman, Univ. of Memphis (United States)
Lutz H. Schaefer, Advanced Imaging Methodology Consultation (Canada)
Lutz H. Schaefer, Advanced Imaging Methodology Consultation (Canada)
Dietwald Schuster, Regensburg Univ. of Applied Sciences (Germany)
Chrysanthe Preza, Univ. of Memphis (United States)
Chrysanthe Preza, Univ. of Memphis (United States)
Published in SPIE Proceedings Vol. 8589:
Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing XX
Carol J. Cogswell; Thomas G. Brown; Jose-Angel Conchello; Tony Wilson, Editor(s)
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