Opto-Electronic Science, Volume. 2, Issue 4, 220023(2023)

Deep learning assisted variational Hilbert quantitative phase imaging

Zhuoshi Li, Jiasong Sun, Yao Fan, Yanbo Jin, Qian Shen, Maciej Trusiak, Maria Cywińska, Peng Gao*, Qian Chen**, and Chao Zuo***
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    References(67)

    [20] TC Poon. DigitalHolographyandThree-DimensionalDisplay: PrinciplesandApplications(2006).

    [59] TM Cover. ElementsofInformationTheory(1999).

    [60] S Ioffe, C. Szegedy. Batch normalization: accelerating deep network training by reducing internal covariate shift(2015).

    [61] V Nair, GE Hinton. Rectified linear units improve restricted Boltzmann machines(2010).

    [63] W Choi, C Fang-Yen, S Oh, N Lue, RR Dasari et al. Tomographic phase microscopy: quantitative 3D-mapping of refractive index in live cells. Imaging Microsc, 10, 48-50(2008).

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    Zhuoshi Li, Jiasong Sun, Yao Fan, Yanbo Jin, Qian Shen, Maciej Trusiak, Maria Cywińska, Peng Gao, Qian Chen, Chao Zuo. Deep learning assisted variational Hilbert quantitative phase imaging[J]. Opto-Electronic Science, 2023, 2(4): 220023

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    Paper Information

    Category: Research Articles

    Received: Nov. 24, 2022

    Accepted: Mar. 3, 2023

    Published Online: Sep. 21, 2023

    The Author Email: Gao Peng (;;), Chen Qian (;;), Zuo Chao (;;)

    DOI:10.29026/oes.2023.220023

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