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Proceedings Paper

Super-resolution and point spread function sensitivity analysis of the expectation-maximization algorithm for computational optical sectioning microscopy
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Paper Abstract

Computational optical sectioning microscopy with a non-confocal microscope is fundamentally limited because the optical transfer function (OTF), the Fourier transform of the point spread function (PSF) is exactly zero over a conic region of the spatial frequency domain. Because of this missing cone of optical information, images are potentially artifactual. To over come this limitation superresolution, in the sense of band extrapolation, is necessary. We present an analysis of how the expectation maximization algorithm for maximum likelihood image estimation achieves this superresolution. We also present experimental results showing this superresolving capability. In practice this capability is often compromised because the PSF has to be truncated to a limited spatial support for algorithm implementation. Therefore we also present an analysis of the sensitivity of superresolution to truncation of the PSF to a finite extent.

Paper Details

Date Published: 30 September 1994
PDF: 10 pages
Proc. SPIE 2302, Image Reconstruction and Restoration, (30 September 1994); doi: 10.1117/12.188056
Show Author Affiliations
Jose-Angel Conchello, Washington Univ. (United States)


Published in SPIE Proceedings Vol. 2302:
Image Reconstruction and Restoration
Timothy J. Schulz; Donald L. Snyder, Editor(s)

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