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Journal of Biomedical Optics

Structural anisotropy quantification improves the final superresolution image of localization microscopy
Author(s): Yina Wang; Zhen-li Huang
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Paper 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.

Paper Details

Date Published: 19 July 2016
PDF: 6 pages
J. Biomed. Opt. 21(7) 076011 doi: 10.1117/1.JBO.21.7.076011
Published in: Journal of Biomedical Optics Volume 21, Issue 7
Show Author Affiliations
Yina Wang, Wuhan National Lab. for Optoelectronics (China)
Huazhong Univ. of Science and Technology (China)
Zhen-li Huang, Wuhan National Lab. for Optoelectronics (China)
Huazhong Univ. of Science and Technology (China)


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