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.
Lei gives invited talk entitled “Deep learning based computational biomedical microscopy with uncertainty quantification”