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Proceedings Paper

Single molecule localizations by pattern matching
Author(s): Siheng He; Henry Hess
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Paper Abstract

Super-resolution localization microscopy methods rely on accurate and fast localization algorithms. We introduce a simple algorithm for the localization of imaged objects based on the search of the best-correlated center. This approach yields tracking accuracies that are comparable to those of Gaussian fittings in typical low signal-to-noise ratios, but with 6× faster execution. The algorithm can be adapted to localize objects that do not exhibit radial symmetry or have to be localized in higher dimensional spaces.

Paper Details

Date Published: 22 April 2016
PDF: 7 pages
Proc. SPIE 9721, Nanoscale Imaging, Sensing, and Actuation for Biomedical Applications XIII, 97210X (22 April 2016); doi: 10.1117/12.2213166
Show Author Affiliations
Siheng He, Columbia Univ. (United States)
Henry Hess, Columbia Univ. (United States)

Published in SPIE Proceedings Vol. 9721:
Nanoscale Imaging, Sensing, and Actuation for Biomedical Applications XIII
Alexander N. Cartwright; Dan V. Nicolau; Dror Fixler, Editor(s)

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