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

Journals >Photonics Research >Volume 11 >Issue 12 >Page 2149 > Article

Photonics Research
Vol. 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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DOI: 10.1364/PRJ.493902 Cite this Article Set citation alerts

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 Copy Citation Text

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References

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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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