Edmund Lam
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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: computational imaging

Academic Journals:

  1. Edmund Y. Lam, “Golden anniversary of Fourier optics: guest editorial,” Applied Optics, vol. 58, no. 7, pp. ED1–ED2, March 2019.
    DOI: 10.1364/AO.58.000ED1

  2. Haosen Liu, Jiahao Liu, Shan Tan, and Edmund Y. Lam, “Image restoration learning via noisy supervision in Fourier domain,” IEEE Transactions on Image Processing, vol. 35, pp. 6432–6445, June 2026.
    DOI: 10.1109/TIP.2026.3700926

  3. Xiao Li, Zhenbo Ren, Ping Su, Ni Chen, Edmund Y. Lam, Ju Tang, Jianglei Di, and Jianlin Zhao, “Snapshot virtual refocusing and three-dimensional reconstruction for microscopy with sequential learning,” Advanced Imaging, vol. 3, no. 2, pp. A00007(1–14), March 2026.
    DOI: 10.3788/AI.2025.10027

  4. Jiahao Liu, Xue Dong, Huaide Lu, Tao Liu, Wei Liu, Xinyao Hu, Quan Meng, Amin Jiang, Tao Jiang, Xiaohan Geng, Haosen Liu, Jun Cheng, Edmund Y. Lam, Yan-Jun Liu, Shan Tan, and Dong Li, “Bio-friendly and high-precision super-resolution imaging through self-supervised reconstruction structured illumination microscopy,” Nature Methods, vol. 23, pp. 395–404, February 2026.
    DOI: 10.1038/s41592-025-02966-y

  5. Jingqian Wu, Chutian Wang, Shuo Zhu, Yunfei Tian, and Edmund Y. Lam, “All-in-focus Fourier ptychography microscopy via 3D implicit neural representation,” Advanced Devices and Instrumentation, vol. 6, pp. 0133(1–9), December 2025.
    DOI: 10.34133/adi.0133
    Invited Paper

  6. Wenjun Zhang, Shuo Zhu, Lijia Chen, Lianfa Bai, Edmund Y. Lam, Enlai Guo, and Jing Han, “High-resolution and real-time non-line-of-sight imaging based on spatial correlation,” Optics and Lasers in Engineering, vol. 193, pp. 109100(1–11), October 2025.
    DOI: 10.1016/j.optlaseng.2025.109100

  7. Wenjun Zhang, Shuo Zhu, Lijia Chen, Lingfeng Liu, Lianfa Bai, Edmund Y. Lam, Enlai Guo, and Jing Han, “Sub-pixel resolving modulation for non-line-of-sight imaging,” Optics Express, vol. 33, no. 14, pp. 30783–30798, July 2025.
    DOI: 10.1364/OE.569102

  8. Ni Chen, Yang Wu, Chao Tan, Liangcai Cao, Jun Wang, and Edmund Y. Lam, “Uncertainty-aware Fourier ptychography,” Light: Science and Applications, vol. 14, pp. 236(1–16), July 2025.
    DOI: 10.1038/s41377-025-01915-w

  9. Ni Chen, David J. Brady, and Edmund Y. Lam, “Differentiable imaging: Progress, challenges, and outlook,” Advanced Devices and Instrumentation, vol. 6, pp. 0117(1–17), July 2025.
    DOI: 10.34133/adi.0117

  10. Wenjun Zhang, Enlai Guo, Shuo Zhu, Chenyang Huang, Lijia Chen, Lingfeng Liu, Lianfa Bai, Edmund Y. Lam, and Jing Han, “Real-time scan-free non-line-of-sight imaging,” APL Photonics, vol. 9, no. 12, pp. 126101(1–15), December 2024.
    DOI: 10.1063/5.0235687

  11. Truong Thanh Nhat Mai, Edmund Y. Lam, and Chul Lee, “Attention-guided low-rank tensor completion,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 46, no. 12, pp. 9818–9833, December 2024.
    DOI: 10.1109/TPAMI.2024.3429498

  12. Jianqing Huang, Hecong Liu, Shuo Zhu, Yingzheng Liu, Edmund Y. Lam, and Weiwei Cai, “Computational flow visualization to reveal hidden properties of complex flow with optical and computational methods,” Cell Reports Physical Science, vol. 5, no. 11, pp. 102282(1–21), November 2024.
    DOI: 10.1016/j.xcrp.2024.102282

  13. 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

  14. 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

  15. Haoyu Wei, Xin Liu, Xiang Hao, Edmund Y. Lam, and Yifan Peng, “Modeling off-axis diffraction with the least-sampling angular spectrum method,” Optica, vol. 10, no. 7, pp. 959–962, July 2023.
    DOI: 10.1364/OPTICA.490223
    Top Downloads in Optica (Jul 23 | Aug 23)

  16. Ni Chen, Liangcai Cao, Ting-Chung Poon, Byoungho Lee, and Edmund Y. Lam, “Differentiable imaging: A new tool for computational optical imaging,” Advanced Physics Research, vol. 2, no. 6, pp. 2200118(1–11), June 2023.
    DOI: 10.1002/apxr.202200118

  17. Linpeng Lu, Jiaji Li, Yefeng Shu, Jiasong Sun, Jie Zhou, Edmund Y. Lam, Qian Chen, and Chao Zuo, “Hybrid brightfield and darkfield transport of intensity approach for high-throughput quantitative phase microscopy,” Advanced Photonics, vol. 4, no. 5, pp. 056002(1–12), September 2022.
    DOI: 10.1117/1.AP.4.5.056002

  18. Truong Thanh Nhat Mai, Edmund Y. Lam, and Chul Lee, “Deep unrolled low-rank tensor completion for high dynamic range imaging,” IEEE Transactions on Image Processing, vol. 31, pp. 5744–5787, September 2022.
    DOI: 10.1109/TIP.2022.3201708

  19. Li Song, Zhou Ge, and Edmund Y. Lam, “Dual alternating direction method of multipliers for inverse imaging,” IEEE Transactions on Image Processing, vol. 31, pp. 3295–3308, April 2022.
    DOI: 10.1109/TIP.2022.3167915

  20. Nan Meng, Kai Li, Jianzhuang Liu, and Edmund Y. Lam, “Light field view synthesis via aperture disparity and warping confidence map,” IEEE Transactions on Image Processing, vol. 30, pp. 3908–3921, March 2021.
    DOI: 10.1109/TIP.2021.3066293

  21. Nan Meng, Hayden K.-H. So, Xing Sun, and Edmund Y. Lam, “High-dimensional dense residual convolutional neural network for light field reconstruction,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 43, no. 3, pp. 873–886, March 2021.
    DOI: 10.1109/TPAMI.2019.2945027

  22. Zhenbo Ren, Zhimin Xu, and Edmund Y. Lam, “End-to-end deep learning framework for digital holographic reconstruction,” Advanced Photonics, vol. 1, no. 1, pp. 016004(1–12), January 2019.
    DOI: 10.1117/1.AP.1.1.016004
    Highlighted as Editors' Pick in this first issue of the journal | Top Download in 2019 | SPIE news feature | Top Cited Article on Imaging and Sensing

  23. Zhenbo Ren, Zhimin Xu, and Edmund Y. Lam, “Learning-based nonparametric autofocusing for digital holography,” Optica, vol. 5, no. 4, pp. 337–344, April 2018.
    DOI: 10.1364/OPTICA.5.000337

  24. Chul Lee and Edmund Y. Lam, “Computationally efficient truncated nuclear norm minimization for high dynamic range imaging,” IEEE Transactions on Image Processing, vol. 25, no. 9, pp. 4145–4157, September 2016.
    DOI: 10.1109/TIP.2016.2585047

  25. Antony C.S. Chan, Kevin K. Tsia, and Edmund Y. Lam, “Subsampled scanning holographic imaging (SuSHI) for fast, non-adaptive recording of three-dimensional objects,” Optica, vol. 3, no. 8, pp. 911–917, August 2016.
    DOI: 10.1364/optica.3.000911

  26. Antony C.S. Chan, Andy K.S. Lau, Kenneth K.Y. Wong, Edmund Y. Lam, and Kevin K. Tsia, “Arbitrary two-dimensional spectrally encoded pattern generation — a new strategy for high-speed patterned illumination imaging,” Optica, vol. 2, no. 12, pp. 1037–1044, December 2015.
    DOI: 10.1364/OPTICA.2.001037

  27. Edmund Y. Lam, “Computational photography with plenoptic camera and light field capture: tutorial,” Journal of the Optical Society of America A, vol. 32, no. 11, pp. 2021–2032, November 2015.
    DOI: 10.1364/JOSAA.32.002021

    Top Downloads in the Journal of the Optical Society of America A (Nov 15 | Dec 15 | Jan 16 | Feb 16 | Aug 16 | Sep 16 | Oct 16 | Nov 16 | Dec 16 | Jan 17 | Feb 17 | Mar 17 | Apr 17 | Dec 17 | Jan 18 | Feb 18 | May 18 | Jun 18 | Jul 18 | Aug 18 | Dec 19)

    Among 15 most cited articles in the journal between 2015 and 2017

  28. Wen Lv, Shiyuan Liu, Xiaofei Wu, and Edmund Y. Lam, “Illumination source optimization in optical lithography via derivative-free optimization,” Journal of the Optical Society of America A, vol. 31, no. 12, pp. B19–B26, December 2014.
    DOI: 10.1364/JOSAA.31.000B19
    Top Downloads in the Journal of the Optical Society of America A (Dec 14)

  29. Jun Ke and Edmund Y. Lam, “Image reconstruction from nonuniformly spaced samples in spectral-domain optical coherence tomography,” Biomedical Optics Express, vol. 3, no. 4, pp. 741–752, April 2012.
    DOI: 10.1364/BOE.3.000741

    News coverage at OCT News

    Top Downloads in Biomedical Optics Express in the area of Image Reconstruction and Inverse Problems over 2010--12

  30. Yijiang Shen, Ningning Jia, Ngai Wong, and Edmund Y. Lam, “Robust level-set-based inverse lithography,” Optics Express, vol. 19, no. 6, pp. 5511–5521, March 2011.
    DOI: 10.1364/OE.19.005511
    News coverage at Laser Focus World

  31. Zhimin Xu and Edmund Y. Lam, “Image reconstruction using spectroscopic and hyperspectral information for compressive terahertz imaging,” Journal of the Optical Society of America A, vol. 27, no. 7, pp. 1638–1646, July 2010.
    DOI: 10.1364/JOSAA.27.001638
    Top Downloads in the Journal of the Optical Society of America A in the area of Imaging Systems over a two-year period (2010--11)

  32. Edmund Y. Lam, Xin Zhang, Huy Vo, Ting-Chung Poon, and Guy Indebetouw, “Three-dimensional microscopy and sectional image reconstruction using optical scanning holography,” Applied Optics, vol. 48, no. 34, pp. H113–H119, December 2009.
    DOI: 10.1364/AO.48.00H113

    Data set available at http://midas.osa.org/midaspub/midas/item/view/1149

    Top Downloads in Applied Optics journal (Oct 09 | Nov 09 | Dec 09 | Jan 10)

    In Applied Optics 50th anniversary edition, this article is among the 10 "Editor's Picks" in the area of Digital Holography that reflect the progression over the journal's half a century history!

Conference Proceedings:

  1. Ni Chen and Edmund Y. Lam, “Uncertainty-aware computational imaging,” in OptoElectronics and Communications Conference, pp. Tu4G-2, June 2026.
    Invited Paper at the conference

  2. Haosen Liu and Edmund Y. Lam, “Unsupervised video denoising for structured noise via Fourier masking,” in Optics, Photonics, and Digital Technologies for Imaging Applications, volume 14085 of Proceedings of the SPIE, pp. 140850W, April 2026.
    DOI: 10.1117/12.3106007
    Invited Paper at the conference

  3. Ni Chen and Edmund Y. Lam, “Embracing uncertainties in computational imaging,” in Holography, Diffractive Optics, and Applications, volume 13719 of Proceedings of the SPIE, pp. 1371903, October 2025.
    DOI: 10.1117/12.3073795

  4. Haoyu Wei, Edmund Y. Lam, and Yifan Peng, “Enabling wide field-of-view imaging via jointly learned off-aperture encoding,” in Optica Topical Meeting in Computational Optical Sensing and Imaging, pp. CTh1B.2, August 2025.
    DOI: 10.1364/COSI.2025.CTh1B.2

  5. Haosen Liu, Haitao Nie, and Edmund Y. Lam, “Physics-informed unsupervised learning for single photon imaging,” in Optica Topical Meeting in Computational Optical Sensing and Imaging, pp. CTu3B.7, August 2025.
    DOI: 10.1364/COSI.2025.CTu3B.7

  6. Yin Cheng, Yusen Liao, Shuaijun Zhou, Jingan Chen, Edmund Y. Lam, and Jun Ke, “Enhanced single pixel imaging in atmospheric turbulence,” in Optica Topical Meeting in Computational Optical Sensing and Imaging, pp. CF1B.5, July 2024.
    DOI: 10.1364/COSI.2024.CF1B.5

  7. Wenjie Yue, Xiaxu Chen, Gangping Liu, Chutian Wang, Edmund Y. Lam, and Jun Ke, “Permutation transient attention encoder for none-line-of-sight imaging,” in Optica Topical Meeting in Computational Optical Sensing and Imaging, pp. CTh5A.4, July 2024.
    DOI: 10.1364/COSI.2024.CTh5A.4

  8. 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

  9. Shuo Zhu, Chutian Wang, Haosen Liu, Pei Zhang, and Edmund Y. Lam, “Computational neuromorphic imaging: principles and applications,” in Computational Optical Imaging and Artificial Intelligence in Biomedical Sciences, volume 12857 of Proceedings of the SPIE, pp. 1285703, January 2024.
    DOI: 10.1117/12.3012192
    Invited Paper at the conference

  10. Haoyu Wei, Xin Liu, Edmund Y. Lam, and Yifan Peng, “Learned large field-of-view imaging with efficient shift-variant wave optics modeling,” in Optica Topical Meeting in Computational Optical Sensing and Imaging, pp. CTu3B.3, August 2023.
    DOI: 10.1364/COSI.2023.CTu3B.3

  11. Yanmin Zhu, Chok Hang Yeung, and Edmund Y. Lam, “Digital holography with polarization multiplexing for underwater imaging and descattering,” in IEEE International Workshop on Metrology for the Sea, pp. 219–223, October 2021.
    DOI: 10.1109/MetroSea52177.2021.9611560
    Invited Paper at the conference

  12. Yanmin Zhu, Chok Hang Yeung, and Edmund Y. Lam, “Digital holographic microplastics detection and characterization in heterogeneous samples via deep learning,” in 12th International Conference on Information Optics and Photonics, volume 12057 of Proceedings of the SPIE, pp. 120573G, July 2021.
    DOI: 10.1117/12.2606532
    Invited Paper at the conference

  13. Edmund Y. Lam, “Artificial intelligence in biophotonics and imaging: Advancing computational reconstruction and inference,” in 26th Optoelectronics and Communications Conference, pp. T4A.2, July 2021.
    DOI: 10.1364/OECC.2021.T4A.2
    Invited Paper at the conference

  14. Edmund Y. Lam, “Identification and quantification of microplastics using digital holography and deep learning,” in International Workshop on Precision Optics and Artificial Intelligence, October 2020.
    Invited Paper at the conference

  15. Edmund Y. Lam and Tianjiao Zeng, “Computational imaging in digital holographic reconstruction with machine learning,” in IEEE International Conference on Computational Electromagnetics, pp. 77–78, August 2020.
    DOI: 10.1109/ICCEM47450.2020.9219395
    Invited Paper at the conference

  16. Yanmin Zhu, Chok Hang Yeung, and Edmund Y. Lam, “Automatic detection of microplastics by deep learning enabled digital holography,” in OSA Topical Meeting in Digital Holography and Three-Dimensional Imaging, pp. HTu5B.1, June 2020.
    DOI: 10.1364/DH.2020.HTu5B.1
    Invited Paper at the conference

  17. Edmund Y. Lam, “Deep learning for digital holography: Imaging, autofocusing, and reconstruction,” in Holography, Diffractive Optics and Applications, volume 11188 of Proceedings of the SPIE, October 2019.
    Invited Paper at the conference

  18. Edmund Y. Lam, “Holographic imaging and reconstruction using machine learning,” in Advances in Optoelectronics and Micro/nano-optics, pp. InF21, October 2018.
    DOI: 10.3390/s18113711
    Invited Paper at the conference

  19. Edmund Y. Lam, “Computational holographic imaging and reconstruction,” in Computational Optics, volume 10694 of Proceedings of the SPIE, May 2018.
    Invited Paper at the conference

  20. Edmund Y. Lam, “Computational imaging and reconstruction in digital holographic microscopy,” in Biomedical Imaging and Sensing Conference, volume 10711 of Proceedings of the SPIE, pp. 1071104, April 2018.
    DOI: 10.1117/12.2315322
    Invited Paper at the conference

  21. Edmund Y. Lam, “Computational ultrafast optical imaging for single-cell inspection and analysis,” in Intelligent Robotics and Industrial Applications using Computer Vision, January 2018.
    Invited Paper at the conference

  22. Zhenbo Ren and Edmund Y. Lam, “Super-resolution imaging in optical scanning holography using structured illumination,” in Holography, Diffractive Optics, and Applications, volume 10022 of Proceedings of the SPIE, pp. 1002203, October 2016.
    DOI: 10.1117/12.2247791
    Invited Paper at the conference