Advanced Photonics Nexus, Volume. 3, Issue 5, 056003(2024)

Hybrid deep-learning and physics-based neural network for programmable illumination computational microscopy Editors' Pick

Ruiqing Sun1, Delong Yang1, Shaohui Zhang1、*, and Qun Hao1,2、*
Author Affiliations
  • 1Beijing Institute of Technology, School of Optics and Photonics, Beijing, China
  • 2Changchun University of Science and Technology, Changchun, China
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    References(33)

    [24] V. Lempitsky, A. Vedaldi, D. Ulyanov. Deep image prior, 9446-9454(2018).

    [26] Y. F. Cheng et al. Illumination pattern design with deep learning for single-shot Fourier ptychographic microscopy, 27, No. 2, 644(2019).

    [31] C. Du et al. On uni-modal feature learning in supervised multi-modal learning(2023).

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    Ruiqing Sun, Delong Yang, Shaohui Zhang, Qun Hao, "Hybrid deep-learning and physics-based neural network for programmable illumination computational microscopy," Adv. Photon. Nexus 3, 056003 (2024)

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    Paper Information

    Category: Research Articles

    Received: Jan. 22, 2024

    Accepted: Jun. 20, 2024

    Published Online: Aug. 19, 2024

    The Author Email: Zhang Shaohui (zhangshaohui@bit.edu.cn), Hao Qun (qhao@bit.edu.cn)

    DOI:10.1117/1.APN.3.5.056003

    CSTR:32397.14.1.APN.3.5.056003

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