Jeffrey and Qianwan in CVPR CCD workshop
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
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
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
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
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*, […]
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 […]
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”.
We are showcasing our work on Computational Miniature Mesoscope at 2020 BRAIN Initiative Investigators virtual Meeting.