Researching | Redefining frontiers of computational imaging with deep learning

Photonics Insights, Volume. 4, Issue 2, C04(2025)

Redefining frontiers of computational imaging with deep learning

Tianting Zhong1,†... Haofan Huang1, Haoran Li1, YongKeun Park2,*, and Puxiang Lai1,34,* |Show fewer author(s)

Author Affiliations

¹Department of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong, China

²Department of Physics, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea

³Shenzhen Research Institute, The Hong Kong Polytechnic University, Shenzhen, China

⁴Photonics Research Institute, The Hong Kong Polytechnic University, Hong Kong, China

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References(16)

[1] J. N. Mait, G. W. Euliss, R. A. Athale. Computational imaging. Adv. Opt. Photonics, 10, 409(2018). https://doi.org/10.1364/AOP.10.000409

[2] J. Suo et al. Computational imaging and artificial intelligence: the next revolution of mobile vision. Proc. IEEE, 111, 1607(2023). https://doi.org/10.1109/JPROC.2023.3338272

[3] X. Luo et al. Revolutionizing optical imaging: computational imaging via deep learning. Photon. Insights, 4, R03(2025). https://doi.org/10.3788/PI.2025.R03

[4] D. Mengu et al. At the intersection of optics and deep learning: statistical inference, computing, and inverse design. Adv. Opt. Photonics, 14, 209(2022). https://doi.org/10.1364/AOP.450345

[5] Z. Yu et al. Wavefront shaping: A versatile tool to conquer multiple scattering in multidisciplinary fields. The Innovation, 3, 100292(2022). https://doi.org/10.1016/j.xinn.2022.100292

[6] G. E. Karniadakis et al. Physics-informed machine learning. Nat. Rev. Phys., 3, 422(2021). https://doi.org/10.1038/s42254-021-00314-5

[7] S. Niu et al. A decade survey of transfer learning (2010–2020). IEEE Trans. Artif. Intell., 1, 151(2021). https://doi.org/10.1109/TAI.2021.3054609

[8] Y. Jo et al. Label-free multiplexed microtomography of endogenous subcellular dynamics using generalizable deep learning. Nat. Cell Biol., 23, 1329(2021). https://doi.org/10.1038/s41556-021-00802-x

[9] J. Park et al. Revealing 3d microanatomical structures of unlabeled thick cancer tissues using holotomography and virtual H&E staining. Nat. Commun., 16, 4781(2025). https://doi.org/10.1038/s41467-025-59820-0

[10] A. Spielberg et al. Differentiable visual computing for inverse problems and machine learning. Nat. Mach. Intell., 5, 1189(2023). https://doi.org/10.1038/s42256-023-00743-0

[11] A. de Santana Correia, E. L. Colombini. Attention, please! A survey of neural attention models in deep learning. Artif. Intell. Rev., 55, 6037(2022). https://doi.org/10.1007/s10462-022-10148-x

[12] Z. Wang et al. Computational optical imaging: on the convergence of physical and digital layers. Optica, 12, 113(2025). https://doi.org/10.1364/OPTICA.544943

[13] L. Bian et al. Physical twinning for joint encoding-decoding optimization in computational optics: a review. Light Sci. Appl., 14, 162(2025). https://doi.org/10.1038/s41377-025-01810-4

[14] M. K. Chen et al. Artificial intelligence in meta-optics. Chem. Rev., 122, 15356(2022). https://doi.org/10.1021/acs.chemrev.2c00012

[15] F. Zhao, C. Zhang, B. Geng. Deep multimodal data fusion. ACM Comput. Surv., 56, 1(2024). https://doi.org/10.1145/3649447

[16] J. Chen, X. Ran. Deep learning with edge computing: a review. Proc. IEEE, 107, 1655(2019). https://doi.org/10.1109/JPROC.2019.2921977

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Tianting Zhong, Haofan Huang, Haoran Li, YongKeun Park, Puxiang Lai, "Redefining frontiers of computational imaging with deep learning," Photon. Insights 4, C04 (2025)

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Paper Information

Category: Commentaries

Received: Jun. 5, 2025

Accepted: Jun. 9, 2025

Published Online: Jun. 30, 2025

The Author Email: Park YongKeun (yk.park@kaist.ac.kr), Lai Puxiang (puxiang.lai@polyu.edu.hk)

DOI:10.3788/PI.2025.C04

CSTR:32396.14.PI.2025.C04

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