科学研究

李欣阳课题组

PI:Xinyang LI

研究方向:智能成像、神经成像机器人、量子成像与量子增强光计算

课题组简介

作为人类视觉的延伸,成像仪器将人类的观测范围扩展到肉眼不可及的尺度和精度,带来一系列的科学发现。瞄准成像领域的国际前沿难题,课题组致力于以人工智能赋能科学观测,通过成像机制、系统架构、智能算法三个方面的创新,显著提升观测性能,并与多个领域深度交叉推动科学发现。当前正在进行的工作包括:

➢智能成像:研究高性能、可解释、自监督的智能图像分析方法,探索人工智能与光学成像融合新架构,以智能计算突破经典观测极限,推动科学新发现。

➢神经成像机器人:研究神经成像机器人新架构,构建自由活动动物的神经成像新技术,揭示复杂行为的神经环路机制,为脑科学和人工智能的发展提供技术支撑。

➢量子成像与量子增强光计算:研究量子效应和光学成像融合新范式,设计并构建量子成像系统,从物理上突破标准量子极限。以量子成像赋能光计算,实现超越标准量子极限的高通量、高精度光子AI计算。

代表性论文

[1] Xinyang Li, Yixin Li, Yiliang Zhou, Jiamin Wu, Zhifeng Zhao, Jiaqi Fan, Fei Deng, Zhaofa Wu, Guihua Xiao, Jing He, Yuanlong Zhang, Guoxun Zhang, Xiaowan Hu, Xingye Chen, Yi Zhang, Hui Qiao, Hao Xie, Yulong Li, Haoqian Wang, Lu Fang, Qionghai Dai. "Real-time denoising enables high-sensitivity fluorescence time-lapse imaging beyond the shot-noise limit." Nature Biotechnology (2023): 282-292.


[2] Xinyang Li, Guoxun Zhang, Jiamin Wu, Yuanlong Zhang, Zhifeng Zhao, Xing Lin, Hui Qiao, Hao Xie, Haoqian Wang, Lu Fang, and Qionghai Dai. "Reinforcing neuron extraction and spike inference in calcium imaging using deep self-supervised denoising." Nature Methods (2021): 1395-1400.


[3] Xinyang Li, Yuanlong Zhang, Jiamin Wu, Qionghai Dai. "Challenges and opportunities in bioimage analysis." Nature Methods (2023): 958-961.


[4] Xinyang Li, Xiaowan Hu, Xingye Chen, Jiaqi Fan, Zhifeng Zhao, Jiamin Wu, Haoqian Wang, Qionghai Dai. "Spatial redundancy transformer for self-supervised fluorescence image denoising." Nature Computational Science (2023): 1067-1080.


[5] Xinyang Li, Guoxun Zhang, Hui Qiao, Feng Bao, Yue Deng, Jiamin Wu, Yangfan He, Jingping Yun, Xing Lin, Hao Xie, Haoqian Wang, Qionghai Dai. (2021). Unsupervised content-preserving transformation for optical microscopy. Light: Science & Applications (2021): 44-54.


[6] Zhifeng Zhao, Yiliang Zhou, Bo Liu, Jing He, Jiayin Zhao, Yeyi Cai, Jingtao Fan, Xinyang Li, Zilin Wang, Zhi Lu, Jiamin Wu, Hai Qi, Qionghai Dai. "Two-photon synthetic aperture microscopy for minimally invasive fast 3D imaging of native subcellular behaviors in deep tissue." Cell (2023): 2475-2491 e22.


[7] Guoxun Zhang, Xiaopeng Li, Yuanlong Zhang, Xiaofei Han, Xinyang Li, Jinqiang Yu, Boqi Liu, Jiamin Wu, Li Yu, Qionghai Dai. Bio-friendly long-term subcellular dynamic recording by self-supervised image enhancement microscopy. Nature Methods (2023): 1-14.


[8] Yuanlong Zhang, Guoxun Zhang, Xiaofei Han, Jiamin Wu, Ziwei Li, Xinyang Li, Guihua Xiao, Hao Xie, Lu Fang, Qionghai Dai. Rapid detection of neurons in widefield calcium imaging datasets after training with synthetic data. Nature Methods (2023): 747-754.


[9] Yi Zhang, Yuling Wang, Mingrui Wang, Yuduo Guo, Xinyang Li, Yifan Chen, Zhi Lu, Jiamin Wu, Xiangyang Ji, Qionghai Dai. "Multi-focus light-field microscopy for high-speed large-volume imaging." PhotoniX (2022): 1-20.


[10] Xinyang Li, Yuanlong Zhang, Kan Liu, Hao Xie, Haoqian Wang, Lingjie Kong, Qionghai Dai. "Adaptive optimization for axial multi-foci generation in multiphoton microscopy." Optics express (2019): 35948-35961.

课题组成员

  • 谢佳辰

    xiejc20@mails.tsinghua.edu.cn

  • 李奕昕

    liyixin318@gmail.com

  • 王铁儒

    wtr24@mails.tsinghua.edu.cn

  • 徐子荆

    xuzijinganny@gmail.com

  • 周熙柔

    zhouxrxd@163.com

  • 谷雨桐

    gyt04082888@163.com

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