CONFERENCE PROCEEDINGS
Advanced Search
Home > Journals > J. Biomed. Opt. > Volume 21 > Issue 7 > Article
Open Access
19 July 2016 Structural anisotropy quantification improves the final superresolution image of localization microscopy
Yina Wang, Zhen-li Huang
Author Affiliations +
Journal of Biomedical Optics, Vol. 21, Issue 7, 076011 (July 2016). https://doi.org/10.1117/1.JBO.21.7.076011
Abstract
Superresolution localization microscopy initially produces a dataset of fluorophore coordinates instead of a conventional digital image. Therefore, superresolution localization microscopy requires additional data analysis to present a final superresolution image. However, methods of employing the structural information within the localization dataset to improve the data analysis performance remain poorly developed. Here, we quantify the structural information in a localization dataset using structural anisotropy, and propose to use it as a figure of merit for localization event filtering. With simulated as well as experimental data of a biological specimen, we demonstrate that exploring structural anisotropy has allowed us to obtain superresolution images with a much cleaner background.
© 2016 Society of Photo-Optical Instrumentation Engineers (SPIE) 1083-3668/2016/$25.00 © 2016 SPIE
Citation Download Citation
Yina Wang and Zhen-li Huang "Structural anisotropy quantification improves the final superresolution image of localization microscopy," Journal of Biomedical Optics 21(7), 076011 (19 July 2016). https://doi.org/10.1117/1.JBO.21.7.076011
Published: 19 July 2016
JOURNAL ARTICLE
 6 PAGES
DOWNLOAD PAPER SAVE TO MY LIBRARY
GET CITATION
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Anisotropy
Microscopy
Super resolution
Computer simulations
Image filtering
Luminescence
Cameras
RELATED CONTENT
Subscribe to Digital Library
Receive Erratum Email Alert
Back to Top