Share Email Print
cover

Proceedings Paper

Single molecule localizations by pattern matching
Author(s): Siheng He; Henry Hess
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

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)

© SPIE. Terms of Use
Back to Top