Hessian single-molecule localization microscopy using sCMOS camera

Fudong Xue; Wenting He; Fan Xu; Mingshu Zhang; Liangyi Chen; Pingyong Xu

doi:10.1007/s41048-018-0065-z

Volume 4 Issue 4

Aug. 2018

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Article Navigation > Biophysics Reports > 2018 > 4(4): 215-221

Fudong Xue, Wenting He, Fan Xu, Mingshu Zhang, Liangyi Chen, Pingyong Xu. Hessian single-molecule localization microscopy using sCMOS camera[J]. Biophysics Reports, 2018, 4(4): 215-221. doi: 10.1007/s41048-018-0065-z

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Fudong Xue, Wenting He, Fan Xu, Mingshu Zhang, Liangyi Chen, Pingyong Xu. Hessian single-molecule localization microscopy using sCMOS camera[J]. Biophysics Reports, 2018, 4(4): 215-221. doi: 10.1007/s41048-018-0065-z

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Hessian single-molecule localization microscopy using sCMOS camera

doi: 10.1007/s41048-018-0065-z

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

Funds: 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.

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Corresponding author: Pingyong Xu
Received Date: 26 June 2018
Publish Date: 01 August 2018

Abstract

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 pixeldependent 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.
- Hessian,
- SMLM,
- Super-resolution,
- sCMOS

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References

Betzig E, Patterson GH, Sougrat R, Lindwasser OW, Olenych S, Bonifacino JS, Davidson MW, Lippincott-Schwartz J, Hess HF (2006) Imaging intracellular fluorescent proteins at nanometer resolution. Science 313(5793):1642-1645

Hell SW (2007) Far-field optical nanoscopy. Science 316(5828):1153-1158

Huang F, Hartwich TMP, Rivera-Molina FE, Lin Y, Duim WC, Long JJ, Uchil PD, Myers JR, Baird MA, Mothes W, Davidson MW, Toomre D, Bewersdorf J (2013) Video-rate nanoscopy using sCMOS camera-specific single-molecule localization algorithms. Nat Methods 10(7):653-658

Huang X, Fan J, Li L, Liu H, Wu R, Wu Y, Wei L, Mao H, Lal A, Xi P, Tang L, Zhang Y, Liu Y, Tan S, Chen L (2018) Fast, long-term, super-resolution imaging with Hessian structured illumination microscopy. Nat Biotechnol 36(5):451-459

Lefkimmiatis S, Bourquard A, Unser M (2012) Hessian-based regularization for 3D microscopy image restoration. In ISBI, pp 1731-1734

Lefkimmiatis S, Ward JP, Unser M (2013) Hessian Schatten-norm regularization for linear inverse problems. IEEE Trans Image Process 22(5):1873-1888

Olivo-Marin J (2002) Extraction of spots in biological images using multiscale products. Pattern Recogn 35(9):1989-1996

Ovesný M, Křížek P, Borkovec J, Švindrych Z, Hagen GM (2014) ThunderSTORM:a comprehensive ImageJ plug-in for PALM and STORM data analysis and super-resolution imaging. Bioinformatics 30(16):2389-2390

Rust MJ, Bates M, Zhuang X (2006) Sub-diffraction-limit imaging by stochastic optical reconstruction microscopy (STORM). Nat Methods 3(10):793

Smith CS, Joseph N, Rieger B, Lidke KA (2010) Fast, singlemolecule localization that achieves theoretically minimum uncertainty. Nat Methods 7(5):373-375

Sun T, Sun N, Wang J, Tan S (2015) Iterative CBCT reconstruction using Hessian penalty. Phys Med Biol 60(5):1965

Zhang M, Chang H, Zhang Y, Yu J, Wu L, Ji W, Chen J, Liu B, Lu J, Liu Y (2012) Rational design of true monomeric and bright photoactivatable fluorescent proteins. Nat Methods 9(7):727

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