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

Xiaoyu Jin; Jie Zhao; Dayong Wang; John J. Healy; Lu Rong; Yunxin Wang; Shufeng Lin

doi:10.1364/PRJ.493902

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 Zhao^1,2,5、*, Dayong Wang^1,2,6、*, John J. Healy^3,4, Lu Rong^1,2, Yunxin Wang^1,2, and Shufeng Lin^1,2

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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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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