Physics-based AI
Topics include: Physics-informed networks, simulator-trained reconstruction, neural fields, learned scattering inversion, hybrid optical–neural systems, and structured generative and denoising priors.
Point Spread Function Engineering Using Implicit Neural Representations
Point Spread Function Engineering Using Implicit Neural Representations
Suet Ying Chan, Mitchell Gilmore, Qilin Deng, Guorong Hu, Joseph Greene, Ruipeng Guo, and Lei Tian
arXiv:2608.20277 (2026). Preprint.
DeepFilters: Scattering-Aware Pupil Engineering with Learned Digital Filter Reconstruction for Extended Depth of Field Microscopy
DeepFilters: Scattering-Aware Pupil Engineering with Learned Digital Filter Reconstruction for Extended Depth of Field Microscopy
Joseph L. Greene, Suet Ying Chan, Qilin Deng, Jeffrey Alido, Alexandra Lion, Guorong Hu, Ruipeng Guo, Tongyu Li, Kivilcim Kiliç, Ian Davison, and Lei Tian
arXiv:2605.13619 (2026). Preprint.
Physics-informed neural network for mapping vascular and tissue dynamics using laser speckle contrast imaging
Physics-informed neural network for mapping vascular and tissue dynamics using laser speckle contrast imaging
Shuying Li, Rockwell Tang, Bingxue Liu, Victoria Krepulec, Will Donovan, David Boas, Xiaojun Cheng, and Lei Tian
Neurophotonics, Vol. 13, Issue 3, 035012, 2026.
Coordinate-conditioned Deconvolution for Scalable Spatially Varying High-Throughput Imaging
Coordinate-conditioned Deconvolution for Scalable Spatially Varying High-Throughput Imaging
Qianwan Yang; Zhixiong Chen; Jiaqi Zhang; Ruipeng Guo; Guorong Hu; Lei Tian
IEEE Transactions on Computational Imaging 2026.
An end-to-end hybrid deep-learning approach for single-shot wavefront sensing and correction
An end-to-end hybrid deep-learning approach for single-shot wavefront sensing and correction
Sina Moayed Baharlou, Muhammad Waleed Khalid, Guli Gulinihali, Jeongho Ha, Liyi Hsu, Samantha C. Lewis, Lei Tian, Yeshaiahu Fainman, Alexander V. Sergienko, and Abdoulaye Ndao
Nature Communications 17, 6340 (2026).
Whitened Score Diffusion: A Structured Prior for Imaging Inverse Problems
Whitened Score Diffusion: A Structured Prior for Imaging Inverse Problems
J Alido, T Li, Y Sun, L Tian
NeurIPS 2025.
⭑ Github Project
Cell classification with phase-imaging meta-sensors
Cell classification with phase-imaging meta-sensors
Haochuan Hu, Jianing Liu, Lei Tian, Janusz Konrad, and Roberto Paiella
Optics Letters Vol. 49, Issue 20, pp. 5759-5762 (2024)
NeuPh: scalable and generalizable neural phase retrieval with local conditional neural fields
NeuPh: scalable and generalizable neural phase retrieval with local conditional neural fields
Hao Wang, Jiabei Zhu, Yunzhe Li, Qianwan Yang, Lei Tian
Advanced Photonics Nexus, Vol. 3, Issue 5, 056005 (August 2024)
⭑ Github Project
Wide-field, high-resolution reconstruction in computational multi-aperture miniscope using a Fourier neural network
Wide-field, high-resolution reconstruction in computational multi-aperture miniscope using a Fourier neural network
Qianwan Yang, Ruipeng Guo, Guorong Hu, Yujia Xue, Yunzhe Li, and Lei Tian
Optica Vol. 11, Issue 6, pp. 860-871 (2024).
⭑Github Project
Robust single-shot 3D fluorescence imaging in scattering media with a simulator-trained neural network
Robust single-shot 3D fluorescence imaging in scattering media with a simulator-trained neural network
J. Alido, J. Greene, Y. Xue, G. Hu, Y. Li, K. Monk, B. DeBenedicts, I. Davison, L. Tian
Optics Express Vol. 32, Issue 4, pp. 6241-6257 (2024).
⭑Github Project
Multiple-scattering simulator-trained neural network for intensity diffraction tomography
Multiple-scattering simulator-trained neural network for intensity diffraction tomography
A. Matlock, J. Zhu, L. Tian
Optics Express 31, 4094-4107 (2023)
Recovery of Continuous 3D Refractive Index Maps from Discrete Intensity-Only Measurements using Neural Fields
Recovery of Continuous 3D Refractive Index Maps from Discrete Intensity-Only Measurements using Neural Fields
Renhao Liu, Yu Sun, Jiabei Zhu, Lei Tian, Ulugbek Kamilov
Nature Machine Intelligence 4, 781–791 (2022).
Deep-learning-augmented Computational Miniature Mesoscope
Deep-learning-augmented Computational Miniature Mesoscope
Yujia Xue, Qianwan Yang, Guorong Hu, Kehan Guo, Lei Tian
Optica 9, 1009-1021 (2022)
Adaptive 3D descattering with a dynamic synthesis network
Adaptive 3D descattering with a dynamic synthesis network
Waleed Tahir, Hao Wang, Lei Tian
Light: Science & Applications 11, 42, 2022.
⭑ On the Cover
Displacement-agnostic coherent imaging through scatter with an interpretable deep neural network
Displacement-agnostic coherent imaging through scatter with an interpretable deep neural network
Y Li, S Cheng, Y Xue, L Tian
Optics Express Vol. 29, Issue 2, pp. 2244-2257 (2021).
SIMBA: Scalable Inversion in Optical Tomography using Deep Denoising Priors
SIMBA: Scalable Inversion in Optical Tomography using Deep Denoising Priors
Zihui Wu, Yu Sun, Alex Matlock, Jiaming Liu, Lei Tian, Ulugbek S. Kamilov
IEEE Journal of Selected Topics in Signal Processing 14(6), 2020.
Reliable deep learning-based phase imaging with uncertainty quantification
Reliable deep learning-based phase imaging with uncertainty quantification
Yujia Xue, Shiyi Cheng, Yunzhe Li, Lei Tian
Optica 6, 618-629 (2019).
Deep speckle correlation: a deep learning approach towards scalable imaging through scattering media
Deep speckle correlation: a deep learning approach towards scalable imaging through scattering media
Yunzhe Li, Yujia Xue, Lei Tian
Optica 5, 1181-1190 (2018).
⭑ Top 5 most cited articles in Optica published in 2018 (Source: Google Scholar)
Deep learning approach to Fourier ptychographic microscopy
Deep learning approach to Fourier ptychographic microscopy
Thanh Nguyen, Yujia Xue, Yunzhe Li, Lei Tian, George Nehmetallah
Opt. Express 26, 26470-26484 (2018).
