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Optics Express

Optics Express

  • Editor: C. Martijn de Sterke
  • Vol. 19, Iss. 18 — Aug. 29, 2011
  • pp: 16963–16974

High-density localization of active molecules using Structured Sparse Model and Bayesian Information Criterion

Tingwei Quan, Hongyu Zhu, Xiaomao Liu, Yongfeng Liu, Jiuping Ding, Shaoqun Zeng, and Zhen-Li Huang  »View Author Affiliations

Optics Express, Vol. 19, Issue 18, pp. 16963-16974 (2011)

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Localization-based super-resolution microscopy (or called localization microscopy) rely on repeated imaging and localization of active molecules, and the spatial resolution enhancement of localization microscopy is built upon the sacrifice of its temporal resolution. Developing algorithms for high-density localization of active molecules is a promising approach to increase the speed of localization microscopy. Here we present a new algorithm called SSM_BIC for such purpose. The SSM_BIC combines the advantages of the Structured Sparse Model (SSM) and the Bayesian Information Criterion (BIC). Through simulation and experimental studies, we evaluate systematically the performance between the SSM_BIC and the conventional Sparse algorithm in high-density localization of active molecules. We show that the SSM_BIC is superior in processing single molecule images with weak signal embedded in strong background.

© 2011 OSA

OCIS Codes
(100.6640) Image processing : Superresolution
(110.2960) Imaging systems : Image analysis
(180.2520) Microscopy : Fluorescence microscopy

ToC Category:

Original Manuscript: June 24, 2011
Revised Manuscript: August 4, 2011
Manuscript Accepted: August 11, 2011
Published: August 15, 2011

Virtual Issues
Vol. 6, Iss. 9 Virtual Journal for Biomedical Optics

Tingwei Quan, Hongyu Zhu, Xiaomao Liu, Yongfeng Liu, Jiuping Ding, Shaoqun Zeng, and Zhen-Li Huang, "High-density localization of active molecules using Structured Sparse Model and Bayesian Information Criterion," Opt. Express 19, 16963-16974 (2011)

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