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Review | Open Access

Hessian single-molecule localization microscopy using sCMOS camera

Fudong Xue1,2Wenting He1Fan Xu3Mingshu Zhang1Liangyi Chen4Pingyong Xu1,2( )
Key Laboratory of RNA Biology, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China
College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN 47907, USA
State Key Laboratory of Membrane Biology, Beijing Key Laboratory of Cardiometabolic Molecular Medicine, Institute of Molecular Medicine, Peking University, Beijing 100871, China
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Abstract

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 pixel-dependent readout noise of sCMOS cameras, especially when the signal-to-noise ratio is low. Using Hessian-SMLM to image mEos3.2-labeled actin was able to significantly reduce the artifacts due to camera noise.

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Biophysics Reports
Pages 215-221
Cite this article:
Xue F, He W, Xu F, et al. Hessian single-molecule localization microscopy using sCMOS camera. Biophysics Reports, 2018, 4(4): 215-221. https://doi.org/10.1007/s41048-018-0065-z

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Received: 26 June 2018
Accepted: 18 July 2018
Published: 31 August 2018
© The Author(s) 2018

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

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