Photonics Research, Volume. 11, Issue 12, 2149(2023)

Continuous-wave terahertz in-line holographic diffraction tomography with the scattering fields reconstructed by a physics-enhanced deep neural network

Xiaoyu Jin1, Jie Zhao1,2,5、*, Dayong Wang1,2,6、*, John J. Healy3,4, Lu Rong1,2, Yunxin Wang1,2, and Shufeng Lin1,2
Author Affiliations
  • 1College of Physics and Optoelectronics, Faculty of Science, Beijing University of Technology, Beijing 100124, China
  • 2Beijing Engineering Research Center of Precision Measurement Technology and Instruments, Beijing 100124, China
  • 3Beijing-Dublin International College, Beijing University of Technology, Beijing 100124, China
  • 4School of Electrical and Electronic Engineering, College of Engineering and Architecture, University College Dublin, Belfield, Dublin 4, Ireland
  • 5e-mail: zhaojie@bjut.edu.cn
  • 6e-mail: wdyong@bjut.edu.cn
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    References(42)

    [2] A. Saha. Terahertz Solid-State Physics and Devices(2020).

    [34] O. Ronneberger, P. Fischer, T. Brox. U-Net: convolutional networks for bio-medical image segmentation. Proceedings of Medical Image Computing and Computer-Assisted Intervention–MICCAI, 9351, 234-241(2015).

    [35] J. W. Goodman. Introduction to Fourier Optics(2005).

    [40] Y. Gao, L. Cao. Iterative projection meets sparsity regularization: towards practical single-shot quantitative phase imaging with in-line holography. Light Adv. Manuf., 4, 6(2023).

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    Xiaoyu Jin, Jie Zhao, Dayong Wang, John J. Healy, Lu Rong, Yunxin Wang, Shufeng Lin. Continuous-wave terahertz in-line holographic diffraction tomography with the scattering fields reconstructed by a physics-enhanced deep neural network[J]. Photonics Research, 2023, 11(12): 2149

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    Paper Information

    Category: Holography, Gratings, and Diffraction

    Received: Apr. 27, 2023

    Accepted: Oct. 15, 2023

    Published Online: Nov. 24, 2023

    The Author Email: Jie Zhao (zhaojie@bjut.edu.cn), Dayong Wang (wdyong@bjut.edu.cn)

    DOI:10.1364/PRJ.493902

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