22 April 2016 Single molecule localizations by pattern matching
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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.
Conference Presentation
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Siheng He, Siheng He, Henry Hess, Henry Hess, "Single molecule localizations by pattern matching", Proc. SPIE 9721, Nanoscale Imaging, Sensing, and Actuation for Biomedical Applications XIII, 97210X (22 April 2016); doi: 10.1117/12.2213166; https://doi.org/10.1117/12.2213166
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