电 话：+86 010 627
E-mail：
曾入选国家海外高层次人才引进计划（青年项目）等。2012年在清华大学获得工学博士学位，随后在哈佛大学、霍华德·休斯医学研究所Janelia研究校园、普渡大学从事博士后研究，2017年加入清华大学精密仪器系。
吉林大学光通信系，工学学士
清华大学精密仪器与机械学系，工学博士
哈佛大学化学与化学生物系，博士后
霍华德·休斯医学研究所Janelia研究校园，博士后
普渡大学电子与计算机工程学院，博士后
清华大学精密仪器系，副教授
长期从事光学显微成像及其生物医学应用的研究，在生物医学成像、传感及智能病理等领域的方法创新、系统设计和集成等方面取得了一些重要研究成果，例如设计研制了（1）实时、高分辨、超大尺度显微成像系统及随机扫描宽视场层析显微成像系统，实现了厘米级视场、亚细胞级分辨率的高速、高通量成像，并成功应用于小鼠神经网络活动的在体观测；（2）三维高速双光子荧光显微成像系统，用于小动物在体神经回路成像；（3）自适应光学显微系统，用于在体深层生物组织成像；（4）新型相干拉曼显微系统及其所需超短脉冲激光光源等，用于化学特异性、无标记成像。
在光学工程、生物光子学领域，以第一作者或通讯作者已发表 SCI 收录论文60余篇（包括 Nature Photonics论文2篇、Nature Methods论文 2 篇、Nature Machine Intelligence论文1篇、Science Advances论文1篇）。曾在 SPIE Photonics West、LALS等国际会议多次做特邀报告。
主持承担国家自然科学基金重点项目、科技创新2030——“脑科学与类脑研究”重大项目（青年科学家项目）等，参与国家自然科学基金创新群体项目等，曾入选国家海外高层次人才引进计划（青年项目）等，获《麻省理工科技评论》中国区“35岁以下科技创新35人”等荣誉。
本课题组将继续围绕新型光学显微成像、传感及其生物医学（尤其是脑科学、免疫科学、临床医学）应用开展研究，探索生物光子学的新理论、新方法、新技术，并致力于生物医学科学仪器研究，推动所研发技术的生物医学应用。
将基础理论与上述研究进展结合，本课题组开设《神经光子学》课程，现已发布到学堂在线（https://www.xuetangx.com/ ），供大家交流。
代表性论文如下：
1. Ruheng Shi*, Xinyue Chen*, Junhao Deng*, Junhao Liang, Kuikui Fan, Feifan Zhou, Peifu Tang†, Licheng Zhang† & Lingjie Kong†, Random-access wide-field mesoscopy for centimetre-scale imaging of biodynamics with subcellular resolution, Nature Photonics (2024), https://www.nature.com/articles/s41566-024-01422-1
Nature Photonics 18, 721–730 (2024) (*第一作者，†通讯作者)
2. Junhao Liang, Weisheng Zhang, Jianghui Yang, Meilong Wu, Qionghai Dai†,, Hongfang Yin†,, Ying Xiao†, & Lingjie Kong†, Deep learning supported discovery of biomarkers for clinical prognosis of liver cancer, Nature Machine Intelligence 2023, https://doi.org/10.1038/s42256-023-00635-3 (†通讯作者)
3. Bingqian Zhou*, Kuikui Fan*, Jingjing Guo*, Jiesi Feng, Changxi Yang, Yulong Li, Songhai Shi, and Lingjie Kong, Plug-and-play fibre-optic sensors based on engineered cells for neurochemical monitoring at high specificity in freely moving animals, Science Advances 9(22), eadg0218 (2023) https://www.science.org/doi/10.1126/sciadv.adg0218 (*第一作者)
4. Jingtao Fan*, Jinli Suo*, Jiamin Wu*, Hao Xie*, Yibing Shen, Feng Chen, Guijin Wang, Liangcai Cao, Guofan Jin, Quansheng He, Tianfu Li, Guoming Luan, Lingjie Kong†, Zhenrong Zheng† & Qionghai Dai†, Video-rate imaging of biological dynamics at centimeter scale and sub-micron resolution, Nature Photonics 13, 809–816 (2019) (*第一作者，†通讯作者)
5. Jung-Hoon Park*, Lingjie Kong*, Yifeng Zhou and Meng Cui，Large-field-of-view imaging by multi-pupil adaptive optics, Nature Methods 14,581–583 (2017) (*第一作者)
6. Lingjie Kong, Jianyong Tang, Justin P. Little, Yang Yu, Tim Lämmermann, Charles P. Lin, Ronald N. Germain and Meng Cui, "Continuous volumetric imaging via an optical phase-locked ultrasound lens, " Nature Methods 12, 759–762 (2015)
光学工程、生物光子学、计算成像、超快光学、生物医学科学仪器
8.Chang Sun#, Junhao Deng#, Yifei Ma, Fanqi Meng, Xiang Cui, Ming Li, Jiantao Li, Jia Li, Pengbin Yin, Lingjie Kong*, Licheng Zhang*, Peifu Tang*, The dual role of microglia in neuropathic pain after spinal cord injury: Detrimental and protective effects, Experimental Neurology, Volume 370, 114570 (2023)
7.Xiangyu Guo, Xiaochen Li, Xinyue Wang, Mingxin Li, Xiaochuan Dai, Lingjie Kong, Qun Hao, Jingjing Zhao, Yong Huang, and Liqun Sun，Wearable optical coherence tomography angiography probe for freely moving mice，Biomed. Opt. Express 14(12), 6509-6520 (2023)
6.Bingqian Zhou#, Kuikui Fan#, Jiazhen Zhai, Cheng Jin, Lingjie Kong, Upconversion-Luminescent Fiber Microchannel Sensors for Temperature Monitoring at High Spatial Resolution in the Brains of Freely Moving Animals, Advanced Science 2023, 2303527
5.Sijie Fan, Shuke Wang, Changxi Yang, Frank Wise, Lingjie Kong, Advances of Mode-Locking Fiber Lasers in Neural Imaging, Advanced Optical Materials 2023, https://doi.org/10.1002/adom.202202945
4.Bingqian Zhou, Kuikui Fan, Jiesi Feng, Changxi Yang, Yulong Li, Songhai Shi, and Lingjie Kong, Plug-and-play fibre-optic sensors based on engineered cells for neurochemical monitoring at high specificity in freely moving animals, Science Advances 9(22), eadg0218 (2023) https://www.science.org/doi/10.1126/sciadv.adg0218
3.Junhao Liang, Weisheng Zhang, Jianghui Yang, Meilong Wu, Qionghai Dai, Hongfang Yin, Ying Xiao & Lingjie Kong, Deep learning supported discovery of biomarkers for clinical prognosis of liver cancer, Nature Machine Intelligence, https://doi.org/10.1038/s42256-023-00635-3
2.Jiazhen Zhai, Cheng Jin, and Lingjie Kong, Compact, hybrid light-sheet and Fourier light-field micros-copy with a single objective for high-speed volumetric imaging in vivo, The Journal of Physical Chemistry A, (2023)
1.Bingqian Zhou, Kuikui Fan, Tianfu Li, Guoming Luan, and Lingjie Kong, A biocompatible hydrogel-coated fiber-optic probe for monitoring pH dynamics in mammalian brains in vivo, Sensors and Actuators B: Chemical (2023)
通信地址：北京市海淀区清华大学精仪系（9003大楼）
邮编： 100084
清华主页
教师登录
