• Associate Research Professor
• Associate Research Professor, College of Future Technology, Peking University
  National Biomedical Imaging Center

• 个人简介

  His main research interests include developing neural microscopic imaging systems for freely moving animals that enable real-time monitoring in wired and wireless modes; developing data-processing and analysis algorithms to achieve real-time decoding of the functional mechanisms of tens of thousands of neurons in freely moving animals; and developing multimodal imaging systems combining neural imaging with functional MRI/ultrasound, as well as super-resolution imaging systems and algorithms, among others. In recent years, he has published more than 60 papers in leading journals, including Nature Photonics (2023), Science Advances (two papers: 2023 and 2025), Journal of Neurochemistry (2023), and eLife (three papers: 2022 and two in 2023). Related technologies have been patented and have led to industrial collaboration for commercialization.

• 教育背景

  April 2019–November 2021, University of California, Los Angeles
  September 2018–March 2019, Georgia Institute of Technology
  November 2016–August 2018, Stony Brook University, State University of New York
  September 2012–September 2016, Ph.D. in Electronic Engineering, University College Dublin
  September 2004–July 2008, B.S. in Physical Electronics, Harbin Institute of Technology
  

• 工作简历

  March 2025–Present, Associate Research Professor, College of Future Technology, Peking University
  January 2022–March 2025, Associate Research Professor, Biomedical Engineering, Beijing Institute of Collaborative Innovation
  

• 代表性论文及论著

  1. Changliang Guo#, Garrett J. Blair#, Megha Sehgal, Federico N. Sangiuliano Jimka, Arash Bellafard, Alcino J. Silva, Peyman Golshani, Michele A. Basso, Hugh Tad Blair, Daniel Aharoni, Miniscope-LFOV: A large-field-of-view, single-cell-resolution, miniature microscope for wired and wire-free imaging of neural dynamics in freely behaving animals, Science Advances, 2023, 9(16):1-14
  2. Garrett J Blair, Changliang Guo, Shiyun Wang, Michael S Fanselow, Peyman Golshani, Daniel Aharoni, Hugh T Blair, Hippocampal place cell remapping occurs with memory storage of aversive experiences, eLife, 2023, 12
  3. Changliang Guo, Aimin Wang, Heping Cheng, Liangyi Chen, New imaging instrument in animal models: Two‐photon miniature microscope and large field of view miniature microscope for freely behaving animals, Journal of Neurochemistry, 2022, 164(3): 1-14
  4. Weisong Zhao, Shiqun Zhao, Zhenqian Han, Xiangyan Ding, Guangwei Hu, Liying Qu, Yuanyuan Huang, Xinwei Wang, Heng Mao, Yaming Jiu, Ying Hu, Jiubin Tan, Xumin Ding*, Liangyi Chen*, Changliang Guo*, Haoyu Li*, Enhanced detection of fluorescence fluctuations for high-throughput super-resolution imaging, Nature photonics, 2023, 17(9): 806-813
  5. Pingping Zhao#, Changliang Guo#, Mian Xie, Liangyi Chen, Peyman Golshani, Daniel Aharoni, MiniXL: An open-source, large field-of-view epifluorescence miniscope enabling single-cell resolution and multi-region imaging in mice, Science Advances, 2025, 11(24)
  6. Changliang Guo#, Tara Urner#, and Shu Jia, “3D light-field endoscopic imaging using a GRIN lens array,” Applied Physics Letters, 116(10), 101105 (2020).
  7. Changliang Guo#, Wenhao Liu#, Xuanwen Hua, Haoyu Li, and Shu Jia, “Fourier light-field microscopy,” Optics Express, 27(18) 25573-25594 (2019). (Editors' Pick)
  8. Biagio Mandracchia, Xuanwen Hua, Changliang Guo, Jeonghwan Son, Tara Urner, and Shu Jia, “Fast and accurate sCMOS noise correction for fluorescence microscopy,” Nature Communications, 11(1), 1-12 (2020). (Nature Methods highlight: Say goodbye to sCMOS noise)
  9. Jian Wang, Xuanwen Hua, Changliang Guo, Wenhao Liu, and Shu Jia, “Airy-beam tomographic microscopy,” Optica, 7( 7), 790-793 (2020).