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ZHOU Bo, WANG Kun-hao, CHEN Liang-yi. Recent progress on the reconstruction algorithms of structured illumination microscopy[J]. Chinese Optics. doi: 10.37188/CO.EN.2022-0011
Citation: ZHOU Bo, WANG Kun-hao, CHEN Liang-yi. Recent progress on the reconstruction algorithms of structured illumination microscopy[J]. Chinese Optics. doi: 10.37188/CO.EN.2022-0011

Recent progress on the reconstruction algorithms of structured illumination microscopy

doi: 10.37188/CO.EN.2022-0011
Funds:  Supported by National Natural Science Foundation of China (No. 81925022, No. 92054301, No. 91750203, No. 31821091); National Key R&D Program of China (No. SQ2016YFJC040028); Beijing Natural Science Foundation (No. Z200017, No. Z201100008420005, No. Z20J00059); National Science and Technology Major Project Programme (No. 2016YFA0500400)
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  • Author Bio:

    Zhou Bo (1997—), male, was born in Anqing, Anhui province. He received his Master degree from Peking University in 2020. Currently, he is a Ph.D student in Cell Secretion and Metabolism Laboratory of Institute of Molecular Medicine, Peking University. His research interests are the reconstruction algorithms of super-resolution fluorescence microscopy. E-mail: 2001111937@pku.edu.cn

    WANG Kun-hao (1999—), male, was born in Handan, Hebei province. He received his bachelor’s degree from Xinjiang University in 2019. Currently, he is a postgraduate student in South China Normal University. His research interests are the pathogenicity of EGFR family mutations in breast cancer. E-mail: wkh1999@126.com

    Liangyi Chen (1975—), male, was born in wuhan, Hubei province. is Boya Professor of Peking University. He obtained his undergraduate degrees Biomedical engineering in Xi’an JiaoTong University, then majored in Biomedical engineering in pursuing PhD degree in Huazhong University of Science and Technology. His lab focused on two interweaved aspects: the development of new imaging and quantitative image analysis algorithms, and the application of these technology to study how glucose-stimulated insulin secretion is regulated in the health and disease at multiple levels (single cells, islets and in vivo) in the health and disease animal models. The techniques developed included ultrasensitive Hessian structured illumination microscopy (Hessian SIM) for live cell super-resolution imaging, the Sparse deconvolution algorithm for extending spatial resolution of fluorescence microscopes limited by the optics, Super-resolution fluorescence-assisted diffraction computational tomography (SR-FACT) for revealing the three-dimensional landscape of the cellular organelle interactome, two-photon three-axis digital scanned lightsheet microscopy (2P3A-DSLM) for tissue and small organism imaging, and fast High-resolution Miniature Two-photon Microscopy (FHIRM-TPM) for Brain Imaging in Freely-behaving Mice. He is also recipient of the National Distinguish Scholar Fund project from National Natural Science Foundation of China. E-mail: lychen@pku.edu.cn

  • Corresponding author: lychen@pku.edu.cn
  • Received Date: 11 Jul 2022
  • Accepted Date: 24 Aug 2022
  • Rev Recd Date: 01 Aug 2022
  • Available Online: 24 Aug 2022
  • As an early component of modern Super-Resolution (SR) imaging technology, Structured Illumination Microscopy (SIM) has been developed for nearly twenty years. With up to ~60 nm wavelengths and 564 Hz frame rates, it has recently achieved an optimal combination of spatiotemporal resolution in live cells. Despite these advantages, SIM also suffers disadvantages, some of which originated from the intrinsic reconstruction process. Here we review recent technical advances in SIM, including SR reconstruction, performance evaluation, and its integration with other technologies to provide a practical guide for biologists.

     

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