Hao Wang Wide-field, high-resolution reflection-mode Fourier ptychographic microscopy * best student paper award 1st place Jiabei Zhu 3D Phase Imaging from Intensity Measurements with Non-Paraxial Multiple Scattering Model * best student paper award 1st place * featured in Optica news. Qianwan Yang Advancing Computational Miniature Mesoscope With Simulator-Based Deep Learning Reconstruction * featured in […]
Full CZI Imaging program group Scialog Fellows
Congratulations, Dr. Cheng! ============================= Title: Augmenting Label-free Imaging Modalities with Deep Learning based Digital Staining Presenter: Shiyi Cheng Date: Monday, July 10th, 2023 Time: 11:00 am to 1:00 pm Location: 8 Saint Mary’s Street, Room 339 Advisor: Professor Lei Tian Chair: Professor Ari Trachtenberg Committee: Professor Lei Tian, Professor […]
EDoF-Miniscope: a computational miniscope for extended depth-of-field neural imaging Joseph Greene, Yujia Xue, Jeffrey Alido, Alex Matlock, Guorong Hu, Kivilcim Kiliç, Ian Davison, Lei Tian Two-photon voltage imaging denoising by self-supervised learning Chang Liu, Jelena Platisa, Xin Ye, Allison M. Ahrens, Ichun Anderson Chen, Ian G. Davison, Vincent A. Pieribone, Jerry L. Chen, Lei Tian
Qianwan Yang wins Emil Wolf Outstanding Student Paper Award in Optica Frontier in Optics Congress for her work on “Computational Miniature Mesoscope with deep learning reconstruction”. Congratulations!
J. Zhu*, H. Wang*, L. Tian, “Non-paraxial multiple scattering model for intensity diffraction tomography”, Optica Frontier in Optics, Oct. 2022. J. Greene*, Y. Xue*, J. Alido*, A. Matlock*, G. Hu*, K. Kilic, I. Davison, L. Tian, “Pupil engineering in miniscopes for extended depth-of-field neural imaging”, Optica Frontier in Optics, Oct. 2022. Q. Yang*, Y. Xue*, […]
Title: Robust Deep Learning for Computational Imaging through Random Optics Presenter: Yunzhe Li Date: Monday, September 26, 2022 Time: 12:00 pm to 2:00 pm Location: 8 Saint Mary’s Street, Room 339 Advisor: Professor Lei Tian, ECE Chair: Professor Eshed Ohn-Bar, ECE Committee: […]
DeepVID: A Self-supervised Deep Learning Framework for Two-photon Voltage Imaging Denoising | Chang Liu Voltage imaging is an evolving tool to continuously image neuronal activities for large number of neurons. Recently, a high-speed low-light two-photon voltage imaging framework was developed, which enabled kilohertz-scanning on population-level neurons in the awake behaving animal. However, with a high […]
Congratulations to Waleed & Hao on making to the cover of Light: Science & Applications for their work: Adaptive 3D descattering with a dynamic synthesis network W Tahir, H Wang, L Tian, Light: Science & Applications 11 (1), 1-21