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”.
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!
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).
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 Author Information
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. https://embs.papercept.net/proceedings/ISBI20/0825_VP.mp4
Our collaborative work on metasurface-based computational imaging Plasmonic ommatidia for lensless compound-eye vision Leonard C. Kogos, Yunzhe Li, Jianing Liu, Yuyu Li, Lei Tian & Roberto Paiella Nature Communications 11: 1637 (2020). In the news: – BU ENG news: A Bug’s-Eye View