News
CISL at 2020 BRAIN Initiative Investigators virtual Meeting
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
Yunzhe is selected as a Hariri Graduate Student Fellow of Boston University.
Congratulations!
Joe is awarded the NSF NRT fellowship
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!
Special issue on Computational Microscopy
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).
CISL at CLEO 2020
Lei gives invited talk entitled "Deep learning based computational biomedical microscopy with uncertainty quantification"
CISL at ICCP 2020
Imaging through diffusers with extended depth-of-field using a deep neural network
Yunzhe Li, Shiyi Cheng, Yujia Xue, Lei Tian
CISL at OSA Biophotonics Congress 2020
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
CISL at ISBI 2020
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.
Collaborative work on metasurface-based computational imaging in the news
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
CISL at Photonics West 2020
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 BIOS: Neural Imaging and Sensing, San Francisco, CA, Feb. 2020.
A. Matlock*, J. Li, L. Tian, “Computational illumination for high-throughput intensity diffraction tomography of dynamic biological samples”, SPIE Photonics West BIOS: Quantitative Phase Imaging, CA, Feb. 2020.
Lei Tian, “Deep learning based computational microscopy in scattering media”, SPIE Photonics West BIOS: Adaptive Optics and Wavefront Control for Biological Systems conference, San Francisco, CA, Feb. 2020. (Invited)
Lei Tian, “Towards Scalable and Reliable Deep learning based Phase Microscopy using Intensity-only Measurements”, SPIE Photonics West BIOS: Quantitative Phase Imaging conference, San Francisco, CA, Feb. 2020. (Invited)