Single molecule localizations by pattern matching

Siheng He; Henry Hess

doi:10.1117/12.2213166

22 April 2016 Single molecule localizations by pattern matching

Siheng He, Henry Hess

Proceedings Volume 9721, Nanoscale Imaging, Sensing, and Actuation for Biomedical Applications XIII; 97210X (2016) https://doi.org/10.1117/12.2213166
Event: SPIE BiOS, 2016, San Francisco, California, United States

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

Citation Download Citation

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

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available