Single-frame structured illumination microscopy for fast live-cell imaging

Hanmeng Wu; Yueming Li; Yile Sun; Lu Yin; Weiyun Sun; Zitong Ye; Xinxun Yang; Hongfei Zhu; Mingwei Tang; Yubing Han; Cuifang Kuang; Xu Liu

doi:10.1063/5.0180978

APL Photonics (Mar 2024)

Single-frame structured illumination microscopy for fast live-cell imaging

Hanmeng Wu,
Yueming Li,
Yile Sun,
Lu Yin,
Weiyun Sun,
Zitong Ye,
Xinxun Yang,
Hongfei Zhu,
Mingwei Tang,
Yubing Han,
Cuifang Kuang,
Xu Liu

Affiliations

Hanmeng Wu: State Key Laboratory of Extreme Photonics and Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou 310027, China
Yueming Li: State Key Laboratory of Extreme Photonics and Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou 310027, China
Yile Sun: State Key Laboratory of Extreme Photonics and Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou 310027, China
Lu Yin: College of Optical and Electronic Technology, China Jiliang University, Hangzhou 310018, China
Weiyun Sun: Institute of Pharmacology, College of Pharmaceutical Sciences, Zhejiang University of Technology, Hangzhou 310014, China
Zitong Ye: State Key Laboratory of Extreme Photonics and Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou 310027, China
Xinxun Yang: State Key Laboratory of Extreme Photonics and Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou 310027, China
Hongfei Zhu: Department of Biomedical Engineering, The Chinese University of Hong Kong, Hong Kong, China
Mingwei Tang: State Key Laboratory of Extreme Photonics and Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou 310027, China
Yubing Han: State Key Laboratory of Extreme Photonics and Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou 310027, China
Cuifang Kuang: State Key Laboratory of Extreme Photonics and Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou 310027, China
Xu Liu: State Key Laboratory of Extreme Photonics and Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou 310027, China

DOI: https://doi.org/10.1063/5.0180978
Journal volume & issue: Vol. 9, no. 3
pp. 036102 – 036102-9

Abstract

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Observing subcellular structural dynamics in living cells has become the goal of super-resolution (SR) fluorescence microscopy. Among typical SRM techniques, structured illumination microscopy (SIM) stands out for its fast imaging speed and low photobleaching. However, 2D-SIM requires nine raw images to obtain a SR image, leading to undesirable artifacts in the fast dynamics of live-cell imaging. In this paper, we propose a single-frame structured illumination microscopy (SF-SIM) method based on deep learning that achieves SR imaging using only a single image modulated by a hexagonal lattice pattern. The SF-SIM method used the prior knowledge to complete the structure enhancement of SR images in the spatial domain and the expansion of the Fourier spectrum through deep learning, achieving the same resolution as conventional 2D-SIM. Temporal resolution is improved nine times, and photobleaching is reduced by 2.4 times compared to conventional 2D-SIM. Based on this, we observed the fast dynamics of multiple subcellular structures and the dynamic interaction of two organelles. The SF-SIM methods provide a powerful tool for live-cell imaging.

Published in APL Photonics

ISSN: 2378-0967 (Online)
Publisher: AIP Publishing LLC
Country of publisher: United States
LCC subjects: Technology: Engineering (General). Civil engineering (General): Applied optics. Photonics
Website: https://aplphotonics.aip.org

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