Hessian single-molecule localization microscopy using sCMOS camera  

作　　者：Fudong Xue Wenting He Fan Xu Mingshu Zhang Liangyi Chen Pingyong Xu 

机构地区：[1]Key Laboratory of RNA Biology, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China [2]College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China [3]Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN 47907, USA [4]State Key Laboratory of Membrane Biology, Beijing Key Laboratory of Cardiometabolic Molecular Medicine, Institute of Molecular Medicine, Peking University, Beijing 100871, China

出　　处：《Biophysics Reports》2018年第4期215-221,共7页生物物理学报（英文版）

基　　金：This work was supported by the National Key R＆D Program of China （2016YFA0501500 and 2017YFA0505300）, the National Natural Science Foundation of China [31421002, 21778069 and 31670870）, Project of the Chinese Academy of Sciences （XDB08030203）, and CAS-Peking University Joint Team Project. We thank Dr. Fang Huang from Purdue University for very helpful comments on the manuscript.

摘　　要：Single-molecule localization microscopy （SMLM） has the highest spatial resolution among the existing super-resolution imaging techniques, but its temporal resolution needs further improvement. An sCMOS camera can effectively increase the imaging rate due to its large field of view and fast imaging speed. Using an sCMOS camera for SMLM imaging can significantly improve the imaging time resolution, but the unique single-pixel-dependent readout noise of sCMOS cameras severely limits their application in SMLM imaging. This paper develops a Hessian-based SMLM （Hessian-SMLM） method that can correct the variance, gain, and offset of a single pixel of a camera and effectively eliminate the pixeldependent readout noise of sCMOS cameras, especially when the signal-to-noise ratio is low. Using Hessian-SMLM to image mEos3.2-1abeled actin was able to significantly reduce the artifacts due to camera noise.Single-molecule localization microscopy （SMLM） has the highest spatial resolution among the existing super-resolution imaging techniques, but its temporal resolution needs further improvement. An sCMOS camera can effectively increase the imaging rate due to its large field of view and fast imaging speed. Using an sCMOS camera for SMLM imaging can significantly improve the imaging time resolution, but the unique single-pixel-dependent readout noise of sCMOS cameras severely limits their application in SMLM imaging. This paper develops a Hessian-based SMLM （Hessian-SMLM） method that can correct the variance, gain, and offset of a single pixel of a camera and effectively eliminate the pixeldependent readout noise of sCMOS cameras, especially when the signal-to-noise ratio is low. Using Hessian-SMLM to image mEos3.2-1abeled actin was able to significantly reduce the artifacts due to camera noise.

关 键 词：HESSIAN SMLM SUPER-RESOLUTION sCMOS 

分 类 号：Q617[生物学—生物物理学]