CISL at CLEO 2020
Lei gives invited talk entitled “Deep learning based computational biomedical microscopy with uncertainty quantification”
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 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
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 […]
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)
Multiplexed Intensity Diffraction Tomography (mIDT) for Dynamic, Label-Free Volumetric Biological Imaging A Matlock, J Yi, L Tian – Novel Techniques in Microscopy, 2019 A Deep Learning Approach to 3D Segmentation of Brain Vasculature W Tahir, J Zhu, S Kura, X Cheng, D Boas, L Tian – Optics and the Brain, 2019
Alex Matlock, Anne Sentenac, Ji Yi, Lei Tian, “Intensity-only reflection quantitative phase imaging for biological sample characterization”, SPIE Photonics West BIOS: Quantitative Phase Imaging conference, San Francisco, CA, Feb. 2019. Yujia Xue, Yunzhe Li, Lei Tian, “A deep learning approach to high space-bandwidth product phase microscopy with coded illumination”, SPIE Photonics West BIOS: Quantitative Phase […]
W. Tahir and L. Tian, A Learning Approach to Compressive Holography, OSA Computational Optical Sensing and Imaging conference, San Francisco CA, Jun. 2017, paper CTh2B.1. A. Matlock, O. Avci, S. Unlu, and L. Tian, Differential Phase Contrast and Digital Refocusing in a Computational Reflection Interferometric Microscope for Nanoparticle Imaging, OSA Computational Optical Sensing and Imaging […]