Laser & Optoelectronics Progress, Volume. 58, Issue 24, 2400007(2021)

Progress on Applications of Deep Learning in Super-Resolution Microscopy Imaging

Qingshuang Lu1, Luhong Jin2、*, and Yingke Xu2
Author Affiliations
  • 1Department of Humanities and Tourism, Zhejiang Institute of Economics and Trade, Hangzhou , Zhejiang 310018, China
  • 2Key Laboratory of Biomedical Engineering, Ministry of Education, Zhejiang Province Key Laboratory of Cardio-Cerebral Vascular Detection Technology and Medicinal Effectiveness Appraisal, Department of Biomedical Engineering, Zhejiang University, Hangzhou , Zhejiang 310027, China
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    Figures & Tables(7)
    Principle of traditional super-resolution reconstruction methods. (a) STED[9]; (b) SOFI[39]; (c) STORM[24]; (d) PALM[26]
    GAN structure for image reconstruction
    Application of deep learning in SIM image reconstruction under low-light condition[54]
    Principle and reconstruction results of ANNA-PALM[64]
    Principle and reconstruction results of DFCA network[66]
    Principle of Deep-Z[61]
    Principle of ISL[77]
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    Qingshuang Lu, Luhong Jin, Yingke Xu. Progress on Applications of Deep Learning in Super-Resolution Microscopy Imaging[J]. Laser & Optoelectronics Progress, 2021, 58(24): 2400007

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    Paper Information

    Category: Reviews

    Received: Apr. 21, 2021

    Accepted: Jun. 19, 2021

    Published Online: Dec. 7, 2021

    The Author Email: Luhong Jin (lhjin@zju.edu.cn)

    DOI:10.3788/LOP202158.2400007

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