We are organizing a special issue on “Computational approaches in Neuroimaging” in SPIE Neurophotonics. Guest editors for the issue are L. Tian (BU), X. Intes (RPI), and W. Yang (UC Davis).
In this year’s OSA Frontiers in Optics (FiO) Annual Meeting, both Alex’s and Yujia’s papers win the prestigious Emil Wolf Outstanding Student Paper Prize. Alex Matlock, L. Tian, “Physics-Embedded Deep Learning for Intensity Diffraction Tomography”, OSA Frontier in Optics (FiO), Sept. 2020. Yujia Xue, I Davison, D Boas, L. Tian, “Computational Mesoscope for Single-Shot 3D […]
Single-shot 3D wide-field fluorescence imaging with a Computational Miniature Mesoscope Yujia Xue, Ian G. Davison, David A. Boas, Lei Tian. https://advances.sciencemag.org/content/6/43/eabb7508
Yujia’s work on “3D Fluorescence Imaging with a Computational Mesoscope” was selected as one of the five 2020 IEEE Photonics Conference Best Student Paper Finalists. Congrats! Best Student Papers
Two presentations in COSI 2020. Yujia Xue: Towards Large-scale Volumetric Fluorescence Imaging: Computational Miniature Mesoscope (CF3C.4) Yunzhe Li: Imaging through diffusers with extended depth-of-field using a deep neural network (ITh3E.2).
Yunzhe presents her work on “displacement-agnoistic imaging through diffusers using an interpretable deep neural network”. Alex presents a virtual poster on “Intensity diffraction tomography for quantitative 3D phase imaging”. Yujia presents a virtual poster on “Single-shot 3D fluorescence imaging with a Computational Miniature Mesoscope”.