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Fast Frequency-Domain Compressed Sensing Analysis for High-Density Super-Resolution Imaging Using Orthogonal Matching Pursuit

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成果类型:
期刊论文
作者:
Zhang, Saiwen;Wu, Jingling;Chen, Danni;Li, Siwei;Yu, Bin*;...
通讯作者:
Yu, Bin
作者机构:
[Chen, Danni; Qu, Junle; Zhang, Saiwen; Li, Siwei; Wu, Jingling; Yu, Bin] Shenzhen Univ, Coll Optoelect Engn, Key Lab Optoelect Devices & Syst, Minist Educ & Guangdong Prov, Shenzhen 518060, Peoples R China.
[Chen, Danni; Zhang, Saiwen; Li, Siwei; Wu, Jingling; Yu, Bin] Shenzhen Univ, Coll Optoelect Engn, Shenzhen Key Lab Micronano Measuring & Imaging Bi, Shenzhen 518060, Peoples R China.
[Zhang, Saiwen] Hunan City Univ, Coll Informat & Elect Engn, Yiyang 413000, Peoples R China.
通讯机构:
[Yu, Bin] S
Shenzhen Univ, Coll Optoelect Engn, Key Lab Optoelect Devices & Syst, Minist Educ & Guangdong Prov, Shenzhen 518060, Peoples R China.
Shenzhen Univ, Coll Optoelect Engn, Shenzhen Key Lab Micronano Measuring & Imaging Bi, Shenzhen 518060, Peoples R China.
语种:
英文
关键词:
Fluorescence microscopy;image reconstruction techniques;multi-frame image processing;super-resolution
期刊:
IEEE PHOTONICS JOURNAL
ISSN:
1943-0655
年:
2019
卷:
11
期:
1
页码:
1-8
基金类别:
Manuscript received April 19, 2018; revised November 24, 2018; accepted November 29, 2018. Date of publication December 3, 2018; date of current version December 28, 2018. This work was supported in part by the National Key R&D Program of China under Grant 2017YFA0700500; in part by the National Basic Research Program of China under Grant 2015CB352005; in part by the National Natural Science Foundation of China under Grants 61775144, 61525503, 61620106016, 81727804, 61835009, and 11774242; in part by the Guangdong Natural Science Foundation under Grants 2018A030313362, 2014A030312008, and 2017A030310132; in part by the Shenzhen Science and Technology Planning Project under Grants JCYJ20170818141701667, JCYJ20170412105003520, JCYJ20170818144012025, and JCYJ20170412105003520; in part by the Shenzhen Special Funds for the Development of Strategic Emerging Industries under Grant SWCYL20150331010038; and in part by the China Scholarship Council under Grant 201708440486. Corresponding author: Bin Yu (e-mail: yubin@szu.edu.cn).
机构署名:
本校为其他机构
院系归属:
信息与电子工程学院
摘要:
Single-molecule localization methods play a vital role in a localization-based super-resolution fluorescence microscopy. However, it is difficult for conventional localization schemes based on the Gaussian fitting to locate overlapped high-density fluorescent emitters. Currently, in the spatial domain, the compressive-sensing-based algorithm (CSSTORM) can localize high-emitter-density images. However, the computational cost of this approach is extremely high, which limits its practical application. Here, we propose an alternative frequency-domain compressed sensing (FD-CS) technique for fast s...

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