Edmund Y. Lam  —  Publications

All keywords:

| AI and deep learning | biomedical microscopy | compressed sensing | computational imaging | computational lithography | digital holography | education technology | electronic imaging | eye imaging | lensless imaging | light field | machine vision and automation | magnetic resonance imaging | metasurface | microplastics | neuromorphic imaging | optical coherence tomography | speckle | super-resolution |

Current keyword: lensless imaging

Academic Journals:

  1. Ziyang Liu, Tianjiao Zeng, Xu Zhan, Xiaoling Zhang, Yunqi Wang, and Edmund Y. Lam, “Structure-guided lensless reconstruction via physics-aware decomposition in low-light conditions,” Optics and Laser Technology, vol. 198, pp. 114856(1–12), June 2026.
    DOI: 10.1016/j.optlastec.2026.114856

  2. Li Song, Kaiqiang Wang, Shuo Zhu, Zhenbo Ren, and Edmund Y. Lam, “Ptychographic image reconstruction with a phase-assisted alternating direction method of multipliers,” Optics Letters, vol. 50, no. 9, pp. 2816–2819, May 2025.
    DOI: 10.1364/OL.553571

  3. Ni Chen and Edmund Y. Lam, “Differentiable pixel-super-resolution lensless imaging,” Optics Letters, vol. 50, no. 4, pp. 1180–1183, February 2025.
    DOI: 10.1364/OL.552086

  4. Ziyang Liu, Tianjiao Zeng, Xu Zhan, Xiaoling Zhang, and Edmund Y. Lam, “Generative approach for lensless imaging in low-light conditions,” Optics Express, vol. 33, no. 2, pp. 3021–3039, January 2025.
    DOI: 10.1364/OE.544875

  5. Kaiqiang Wang and Edmund Y. Lam, “Deep learning phase recovery: data-driven, physics-driven, or a combination of both?” Advanced Photonics Nexus, vol. 3, no. 5, pp. 056006(1–12), September/October 2024.
    DOI: 10.1117/1.APN.3.5.056006
    Editors' Pick and Author Presentation

  6. Kaiqiang Wang, Li Song, Chutian Wang, Zhenbo Ren, Guangyuan Zhao, Jiazhen Dou, Jianglei Di, George Barbastathis, Renjie Zhou, Jianlin Zhao, and Edmund Y. Lam, “On the use of deep learning for phase recovery,” Light: Science and Applications, vol. 13, pp. 4(1–46), January 2024.
    DOI: 10.1038/s41377-023-01340-x
    Cover Paper and 2024 Editors' Highlight

    Top Download in Year 2024 and 2025

  7. Li Song and Edmund Y. Lam, “Phase retrieval with a dual recursive scheme,” Optics Express, vol. 31, no. 6, pp. 10386–10400, March 2023.
    DOI: 10.1364/OE.484649

  8. Li Song and Edmund Y. Lam, “Iterative phase retrieval with a sensor mask,” Optics Express, vol. 30, no. 14, pp. 25788–25802, July 2022.
    DOI: 10.1364/OE.461367

  9. Tianjiao Zeng and Edmund Y. Lam, “Robust reconstruction with deep learning to handle model mismatch in lensless imaging,” IEEE Transactions on Computational Imaging, vol. 7, pp. 1080–1092, September 2021.
    DOI: 10.1109/TCI.2021.3114542

Conference Proceedings:

  1. Kaiqiang Wang and Edmund Y. Lam, “Deep learning phase recovery: Data-driven or physics-driven?” in Photonics and Electromagnetics Research Symposium, pp. 1–4, April 2024.
    DOI: 10.1109/PIERS62282.2024.10618233
    Invited Paper at the conference

  2. Li Song, Haosen Liu, and Edmund Y. Lam, “Phase retrieval with multiple sensor masks,” in Optica Topical Meeting in Computational Optical Sensing and Imaging, pp. JTu4A.44, August 2023.
    DOI: 10.1364/COSI.2023.JTu4A.44

  3. Li Song and Edmund Y. Lam, “Masked coherent diffractive imaging with ADMM-based phase retrieval,” in Biomedical Imaging and Sensing Conference, volume 12608 of Proceedings of the SPIE, pp. 126080B, April 2023.
    DOI: 10.1117/12.3007506

  4. Zhou Ge, Tianjiao Zeng, and Edmund Y. Lam, “Lensless sensing using the event sensor,” in OSA Topical Meeting in Computational Optical Sensing and Imaging, pp. ITu6B.5, July 2021.
    DOI: 10.1364/ISA.2021.ITu6B.5

  5. Tianjiao Zeng and Edmund Y. Lam, “Model-based network architecture for image reconstruction in lensless imaging,” in Holography, Diffractive Optics and Applications, volume 11551 of Proceedings of the SPIE, pp. 115510B, October 2020.
    DOI: 10.1117/12.2575205