Research Groups Collaborating Core Facilities

Qingchun Guo

Director of Imaging Facility
Ph.D.
Provide optical imaging services and develop new optical imaging tools.
guoqingchun@cibr.ac.cn
Education Experience

2010 - 2015 Huazhong University of Science and Technology (Ph.D. in Optical Engineering)

2006 - 2010 Huazhong University of Science and Technology (B.D. in Optical information science)

Professional Experience

2018 - present     Director of Imaging Facility, Chinese Institute for Brain Research, Beijing (CIBR) ,Beijing, China

2016 - 2018         Technical director, Thinker Tech Nanjing Biotech Co., Ltd.

Research Description

The Chinese Institute for Brain Research, Beijing(CIBR,Beijing) founded in March 2018 mainly conducts original research for understanding the fundamental principle of brain, solving major cognitive disorders, promoting intelligence development and performance of adolescent, developing brain-like intelligence technology and constructing general technical assistance facilities and biological-medical resource databases. As one of the core facilities of CIBR, the optical imaging facility mainly in charge of imaging equipment maintenance, laboratory personnel training and providing experimental support, while participating in research and development of new optical methods and tools for neuroscience. The microscopes in this facility now contains: in vivo two-photon laser scanning microscope, confocal laser scanning microscope, high-throughput virtual slide microscope, light-sheet fluorescence microscope and wide-field fluorescence microscope.

Honors, Awards and Adjunct, Research Positions


Publications

1. Tian N, Guo Q, Wang A, Xu D, Fu LCA (2011) Fluorescence ghost imaging with pseudothermal light. Optics Letters DOI: 10.1364/OL.36.003302

2. Guo Q, Wang D, He X, Feng Q, Lin R, Xu F, Fu L, Luo MCA (2015) Whole-brain mapping of inputs to projection neurons and cholinergic interneurons in the dorsal striatum. PLoS ONE DOI: 10.1371/journal.pone.0123381

3. Guo Q*, Zhou J*, Feng Q, Lin R, Gong H, Luo Q, Zeng S, Luo MCA, Fu LCA (2015) Multi-channel fiber photometry for population neuronal activity recording. Biomedical Optics Express 6:3919-3931. DOI: 10.1364/BOE.6.003919

4. Li Y, Zhong W, Wang D, Feng Q, Liu Z, Zhou J, Jia C, Hu F, Zeng J, Guo Q, Fu L, Luo MCA (2016) Serotonin neurons in the dorsal raphe nucleus encode reward signals. Nature Comms 7:10503 DOI: 10.1038/ncomms10503

5. Wang D, Li Y, Feng Q, Guo Q, Zhou J, Luo MCA (2017) Learning shapes the aversion and reward responses of lateral habenula neurons. eLife 6:e23045. DOI: 10.7554/eLife.23045.001

6. Li Y, Liu Z, Guo Q, Luo MCA(2019), Long-term Fiber Photometry for Neuroscience Studies. Neurosci Bull 35, 425-433. DOI: 10.1007/s12264-019-00379-4

7. Lu L, Ren Y, Yu T, Liu Z, Wang S, Tan L, Zeng J, Feng Q, Lin R, Liu Y, Guo Q, Luo MCA (2020) Control of locomotor speed, arousal, and hippocampal theta rhythms by the nucleus incertus. Nature communications 11, 262. DOI: 10.1038/s41467-019-14116-y

8. Zhu Q, Shao Y, Wang Z, Chen X, Li C, Liang Z, Jia M, Guo Q, Zhao H, Kong LCA, Zhang LCA (2021) DeepS: a web server for image optical sectioning and super resolution microscopy based on a deep learning framework, Bioinformatics. btab144. DOI: 10.1093/bioinformatics/btab144

9. Dai R *, Yu T*, Weng D*, Li H, Cui Y, Wu Z, Guo Q, Zou H, Wu w, Gao X, Qi Z, Ren Y, Wang S, Li Y, Luo MCA (2022) A neuropsin-based optogenetic tool for precise control of Gq signaling, Sci China Life Sci 65. DOI: 10.1007/s11427-022-2122-0

10. Qi Z*, Guo Q*, Wang S, Jia M, Gao X, Luo MCA, Fu LCA (2022), All-fiber-transmission photometry for simultaneous optogenetic stimulation and multi-color neuronal activity recording, Opto-Electronic Advances 5. DOI: 10.29026/oea.2022.210081