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  • Received: Oct. 10, 2020

    Accepted: Oct. 20, 2020

    Posted: Dec. 1, 2020

    Published Online: Nov. 20, 2020

    The Author Email: Lei Ming (ming.lei@mail.xjtu.edu.cn)

    DOI: 10.3788/LOP57.240001

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    Tianyu Zhao, Zhaojun Wang, Kun Feng, Yansheng Liang, Minru He, Xue Yun, Ming Lei. High-Speed Structured Illumination Microscopy and Its Applications[J]. Laser & Optoelectronics Progress, 2020, 57(24): 240001

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Laser & Optoelectronics Progress, Vol. 57, Issue 24, 240001 (2020)

High-Speed Structured Illumination Microscopy and Its Applications

Zhao Tianyu2,3, Wang Zhaojun1, Feng Kun1, Liang Yansheng1, He Minru2,3, Yun Xue1, and Lei Ming1,3,*

Author Affiliations

  • 1School of Physics, Xi'an Jiaotong University, xi'an, Shaanxi 710049, China
  • 2State Key Laboratory of Transient Optics and Photonics, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an, Shaanxi 710119, China
  • 3University of Chinese Academy of Sciences, Beijing 100049, China

Abstract

Optical microscopy performs an increasingly important role in clinical diagnosis and basic scientific research. With the development of novel fluorescence probes, light controllers, and detectors, super-resolution optical microscopy breaks through the diffraction limit and provides new tools for modern biomedical research. Among these techniques, structured illumination microscope (SIM) achieves super-resolution by using spatially coded structured illumination which down modulates spatial frequencies beyond the cutoff into the pass band of the microscope. SIM shows lower photo bleaching and phototoxicity, higher imaging speed, and no special requirements for fluorescent probes, which has significant advantages in application to live-cell biomedical research. In this paper, the important principles and technological progress during the development of SIM are firstly reviewed. Then we focus on the key experimental techniques and difficulties in hardware design and image reconstruction of SIM. Finally, the several applications in biological imaging are listed. It is expected that this review can provide guidance for designing and using SIM.

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