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Proceedings Paper

Sectioning and super-resolution using unknown random patterns
Author(s): Zachary R. Hoffman; Charles A. DiMarzio
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Paper Abstract

Random structured illumination patterns are used to demonstrate effective sectioning as well as super-resolution images in conjunction with an incoherent light source. By projecting patterns of varied spatial frequencies and using blind deconvolution of an unknown point spread function, super-resolution is achieved. Random patterns produce more consistent sectioning and super-resolution given an unknown optical transfer function. Further, using a randomly distributed pattern provides a low cost solution to obtaining information similar to that produced in confocal microscopy and other methods of structured illumination, without the requirement of precise projection patterns, coherent light sources, or fluorescence.

Paper Details

Date Published: 9 March 2016
PDF: 8 pages
Proc. SPIE 9713, Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing XXIII, 971306 (9 March 2016); doi: 10.1117/12.2214421
Show Author Affiliations
Zachary R. Hoffman, Northeastern Univ. (United States)
Draper Lab. (United States)
Charles A. DiMarzio, Northeastern Univ. (United States)


Published in SPIE Proceedings Vol. 9713:
Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing XXIII
Thomas G. Brown; Carol J. Cogswell; Tony Wilson, Editor(s)

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