AI for Biomedicine
Topics include: AI-enabled biomedical image reconstruction and denoising, neural and vascular imaging, digital staining, cell classification, and computational pathology.
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.
Age-informed, attention-based weakly supervised learning for neuropathological image assessment
Age-informed, attention-based weakly supervised learning for neuropathological image assessment
Shuying Li, Maxwell Malamut, Ann McKee, Jonathan D Cherry, Lei Tian
Brain Informatics 12 (1), 27
Self-supervised elimination of non-independent noise in hyperspectral imaging
Self-supervised elimination of non-independent noise in hyperspectral imaging
G Ding, C Liu, J Yin, X Teng, Y Tan, H He, H Lin, L Tian, JX Cheng
Newton 1 (6)
Label-free nanoscopy of cell metabolism by ultrasensitive reweighted visible stimulated Raman scattering
Label-free nanoscopy of cell metabolism by ultrasensitive reweighted visible stimulated Raman scattering
Haonan Lin, Scott Seitz, Yuying Tan, Jean-Baptiste Lugagne, Le Wang, Guangrui Ding, Hongjian He, Tyler J. Rauwolf, Mary J. Dunlop, John H. Connor, John A. Porco Jr., Lei Tian & Ji-Xin Cheng
Nature Methods (2025).
Enhanced multiscale human brain imaging by semi-supervised digital staining and serial sectioning optical coherence tomography
Enhanced multiscale human brain imaging by semi-supervised digital staining and serial sectioning optical coherence tomography
Shiyi Cheng, Shuaibin Chang, Yunzhe Li, Anna Novoseltseva, Sunni Lin, Yicun Wu, Jiahui Zhu, Ann C. McKee, Douglas L. Rosene, Hui Wang, Irving J. Bigio, David A. Boas & Lei Tian
Light: Science & Applications 14, 57 (2025).
⭑ Github Project
DeepVID v2: self-supervised denoising with decoupled spatiotemporal enhancement for low-photon voltage imaging
DeepVID v2: self-supervised denoising with decoupled spatiotemporal enhancement for low-photon voltage imaging
Chang Liu, Jiayu Lu, Yicun Wu, Xin Ye, Allison M. Ahrens, Jelena Platisa, Vincent A. Pieribone, Jerry L. Chen, Lei Tian
Neurophotonics, Vol. 11, Issue 4, 045007 (October 2024).
⭑ 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
High-Speed Low-Light In Vivo Two-Photon Voltage Imaging of Large Neuronal Populations
High-Speed Low-Light In Vivo Two-Photon Voltage Imaging of Large Neuronal Populations
Jelena Platisa, Xin Ye, Allison M Ahrens, Chang Liu, Ichun A Chen, Ian G Davison, Lei Tian, Vincent A Pieribone, Jerry L Chen
Nature Methods 20, 1095–1103 (2023).
⭑Github Project
⭑ Spotlight: AI to the rescue of voltage imaging, Cell Reports Methods
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)
Microsecond fingerprint stimulated Raman spectroscopic imaging by ultrafast tuning and spatial-spectral learning
Microsecond fingerprint stimulated Raman spectroscopic imaging by ultrafast tuning and spatial-spectral learning
H. Lin, H.J. Lee, N. Tague, J.-B. Lugagne, C. Zong, F. Deng, J. Shin, L. Tian, W. Wong, M.J. Dunlop, J.-X. Cheng
Nature Communications 12(1) (2021).
⭑ In the news:
- BU ECE news.
Single-cell cytometry via multiplexed fluorescence prediction by label-free reflectance microscopy
Single-cell cytometry via multiplexed fluorescence prediction by label-free reflectance microscopy
Shiyi Cheng, Sipei Fu, Yumi Mun Kim, Weiye Song, Yunzhe Li, Yujia Xue, Ji Yi, Lei Tian
Science Advances 15 Jan 2021: Vol. 7, no. 3, eabe0431
⭑ In the news:
- BU Hariri Institute: Deep Learning Allows for Digital Labeling of Multiple Cellular Structures
Anatomical modeling of brain vasculature in two-photon microscopy by generalizable deep learning
Anatomical modeling of brain vasculature in two-photon microscopy by generalizable deep learning
Waleed Tahir, Sreekanth Kura, Jiabei Zhu, Xiaojun Cheng, Rafat Damseh, Fetsum Tadesse, Alex Seibel, Blaire S. Lee, Frederic Lesage, Sava Sakadzic, David A. Boas, Lei Tian
BME Frontiers, vol. 2021, Article ID 8620932
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.
Deep spectral learning for label-free optical imaging oximetry with uncertainty quantification
Deep spectral learning for label-free optical imaging oximetry with uncertainty quantification
Rongrong Liu, Shiyi Cheng, Lei Tian, Ji Yi
Light: Science & Applications 8: 102 (2019).
