Computational Extended Depth of Field Fluorescence Microscopy in Miniaturized and Tabletop Platforms Advisor: Professor Lei Tian Committee: Professor Jerome Mertz, Professor Janusz Konrad, Professor Abdoulaye Ndao, Professor Xiaojun Cheng, Professor Tianyu Wang Thursday, June 20, 2024 12:00 p.m. – 2:00 p.m. Abstract Fluorescence microscopy has emerged as a powerful solution to enable the direct study […]
Computational multi-aperture camera for wide-field high-resolution imaging Qianwan Yang Behind the Blurry Background: Practical Synthetic Features To Enable Robust Imaging Through Scattering Jeffrey Alido
Congratulations to Jiabei Zhu for winning the Best Student Paper Award in Optica Imaging Congress 3D Conference, for his paper on “3D Phase Imaging from Intensity Measurements with Non-Paraxial Multiple Scattering Model”.
Congratulations to Hao Wang for winning the Best Student Paper Award in Optica Imaging Congress Digital Holography Conference, for his paper on “wide-field, high-resolution reflection-mode Fourier ptychographic microscopy”.
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 […]
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