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
Y. Xue*, S. Cheng, Y. Li, L. Tian, “Towards reliable deep learning based phase microscopy”, SPIE Photonics West BIOS: Quantitative Phase Imaging, CA, Feb. 2020. Tahir*, J. Zhu, S. Kura, X. Cheng, R. Damseh, F. Lesage, S. Sakadžic, D. Boas, L. Tian, “A generalizable deep-learning approach to anatomical modeling of brain vasculature”, SPIE Photonics West […]
“High-speed in vitro intensity diffraction tomography,” Adv. Photon. 1(6) 066004, doi 10.1117/1.AP.1.6.066004)
Lei Tian joined the editorial board of IEEE Transactions on Computational Imaging as an Associate Editor.
Congrats!
Joe defends his MS thesis on “Pupil engineering in a miniaturized fluorescent microscopy platform using binary diffractive optics”. Congratulations!
Learning speckle correlations for imaging through scattering Paper 10990-2 Time: 10:30 AM – 10:50 AM Author(s): Yunzhe Li, Yujia Xue, Lei Tian, Boston Univ. (United States)