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Proceedings Paper

Reducing noise in extended depth of field microscope images by optical manipulation of the point spread function
Author(s): Ramzi N. Zahreddine; Robert H. Cormack; Carol J. Cogswell
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Paper Abstract

This work describes improved methods and algorithms for implementing extended depth of field (EDF) microscopy through point spread function (PSF) engineering. It utilizes adaptive optics to create a test bed on which to evaluate new phase shapes for EDF. Being able to quickly and cheaply design novel PSFs is essential to overcome limitations of EDF that have prevented the technology from reaching mainstream use. Further improvement is made by reducing the noise normally seen in EDF images. Computational optics principles are used to first encode the noise with an identifiable pattern and a specially-tailored non-linear algorithm then removes the noise. This approach improves a microscope's imaging capabilities in photon-starved applications such as live-cell fluorescence and object tracking.

Paper Details

Date Published: 23 February 2011
PDF: 7 pages
Proc. SPIE 7904, Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing XVIII, 79041E (23 February 2011); doi: 10.1117/12.881296
Show Author Affiliations
Ramzi N. Zahreddine, Univ. of Colorado at Boulder (United States)
Robert H. Cormack, Univ. of Colorado at Boulder (United States)
Carol J. Cogswell, Univ. of Colorado at Boulder (United States)


Published in SPIE Proceedings Vol. 7904:
Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing XVIII
Jose-Angel Conchello; Carol J. Cogswell; Tony Wilson; Thomas G. Brown, Editor(s)

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