Shiqi Xu

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I am an algorithm scientist at Zeiss in California. At Zeiss RMS, we develop microscope systems to best support the most advanced research in both the industry and academic institutions on a large scale. Specifically, my role is to develop next-generation high-throughput, high-contrast X-ray nano-tomography.

I obtained my Ph.D. from Duke University, where I was supervised by Prof. Roarke Horstmeyer. During this time, I developed computational algorithms for novel sensor arrays to image objects with gigapixel resolution. I also hold an M.S. degree from Washington University, where I worked with Prof. Ulugbek Kamilov on computational imaging, and with Prof. Quing Zhu on developing non-invasive smart LiDAR systems for breast cancer and colorectal cancer diagnosis. During my graduate studies, I contributed to 18 peer-reviewed article publications (7 first-authored), and two issued patents.

Outside of research, I played the violin. I would advocate to play Bach (BWV1001-1006, for instance) in an extensively researched but contemporary way. In my humble opinion, Augustin Hadelich has done a terrific job. I like David Nadien!

selected publications

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    Tensorial tomographic Fourier Ptychography with applications to muscle tissue imaging
    Shiqi Xu, Xi Yang , Paul Ritter , Xiang Dai , Kyung Chul Lee , Lucas Kreiss , Kevin C Zhou , Kanghyun Kim , and 3 more authors
    Advanced Photonics, 2024
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    Imaging Dynamics Beneath Turbid Media via Parallelized Single-Photon Detection
    Shiqi Xu, Xi Yang , Wenhui Liu , Joakim Jönsson , Ruobing Qian , Pavan Chandra Konda , Kevin C Zhou , Lucas Kreiß , and 3 more authors
    Advanced Science, 2022
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    Real-time colorectal cancer diagnosis using PR-OCT with deep learning
    Shiqi Xu, Yifeng Zeng , William C Chapman Jr , Shuying Li , Zahra Alipour , Heba Abdelal , Deyali Chatterjee , Matthew Mutch , and 1 more author
    Theranostics, 2020