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.
Yunzhe is selected as a Hariri Graduate Student Fellow of Boston University.
We are organizing a special issue on “Computational Microscopy” in Elsevier Optics Communications. Guest editors for the issue are H. B. de Aguiar (ENS, France), U. S. Kamilov (WashU, USA), and L. Tian (BU, USA).
Joe is selected as an awardee of the NSF NRT fellowship in the NSF NRT UtB: Neurophotonics National Research Traineeship Program at Boston University. Congratulations!
Lei gives invited talk entitled "Deep learning based computational biomedical microscopy with uncertainty quantification"
Imaging through diffusers with extended depth-of-field using a deep neural network
Yunzhe Li, Shiyi Cheng, Yujia Xue, Lei Tian
We attended first virtual OSA conference!
Computational Miniature Mesoscope for Single-shot 3D Fluorescence Imaging, Yujia Xue, Ian G. Davison, David A. Boas, and Lei Tian.
Predicting immunofluorescence images from reflectance microscopy via deep learning, Shiyi Cheng, Sipei Fu, Yumi Mun Kim, Ji Yi, and Lei Tian
Our work Deep learning based phase imaging with uncertainty quantification (Authors: Tian, Lei; Xue, Yujia; Cheng, Shiyi; Li, Yunzhe) is presented at the ISBI Computational Optical Imaging virtual workshop! Watch Lei's talk below.