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
This CAREER program aims to develop novel optical imaging devices that fully utilize multiple scattering to enable high-resolution imaging in highly scattering media. Scattering in complex media is a fundamental subject that continuously attracts theoretical and experimental endeavors, since it impacts many important applications. To date, solving the inverse-scattering problem remains difficult due to the […]
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 […]