Infrared and Laser Engineering, Volume. 46, Issue 2, 201002(2017)
Fast compressed sensing analysis for super-resolution imaging using random sampling operator
Single molecule fitting-based super-resolution imaging methods achieve nanoscale image resolution but suffer from a long time resolution. The long acquisition time is limited by the low molecule density of fluorescent molecules that can be localized per imaging frame. In this paper, a fast compressed sensing method was proposed to use random sampling operator, together with the block compressed sensing reconstruction method, have a good performance of localization accuracy under high molecular density and reconstruction speed.
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Wang Zhongyang, Zhou Yanfei, Zhang Xiaowei, Shen Hao, Li Enrong, Han Shensheng, Mi Xianqiang, Tian Lijun, Peng Yufeng. Fast compressed sensing analysis for super-resolution imaging using random sampling operator[J]. Infrared and Laser Engineering, 2017, 46(2): 201002
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Received: Jun. 5, 2016
Accepted: Jul. 15, 2016
Published Online: Mar. 31, 2017
The Author Email: Zhongyang Wang (wangzy@sari.ac.cn)