Category: News

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).

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!

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 Author Information 

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. https://embs.papercept.net/proceedings/ISBI20/0825_VP.mp4

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 […]