基本信息
陈曦 男 博导 中国科学院自动化研究所
电子邮件： xi.chen@ia.ac.cn
通信地址： 北京市海淀区中关村东路95号
邮政编码： 100190
研究领域
生物组织高通量序列图像实时配准技术
招生信息
招生专业
081104-模式识别与智能系统
教育背景
2004-09--2009-07 中国科学院自动化研究所 博士
2000-09--2004-07 西安交通大学 学士
2000-09--2004-07 西安交通大学 学士
工作经历
工作简历
2021-04~现在, 中国科学院自动化研究所, 研究员
2012-10~2021-04,中国科学院自动化研究所, 高级工程师
2009-07~2012-10,中国科学院自动化研究所, 助理研究员
2012-10~2021-04,中国科学院自动化研究所, 高级工程师
2009-07~2012-10,中国科学院自动化研究所, 助理研究员
社会兼职
2020-12-01-今,中国自动化学会智能健康与生物信息专委会, 委员
2020-12-01-今,中国老年学和老年医学学会睡眠科学与技术分会, 委员
2020-11-23-今,中国农工民主党第十六届中央科技工作委员会, 委员
2020-10-13-今,中国优选法统筹法与经济数学研究会青年工作委员会, 委员
2020-12-01-今,中国老年学和老年医学学会睡眠科学与技术分会, 委员
2020-11-23-今,中国农工民主党第十六届中央科技工作委员会, 委员
2020-10-13-今,中国优选法统筹法与经济数学研究会青年工作委员会, 委员
专利与奖励
专利成果
[1] 陈曦, 韩华, 沈丽君, 马宏图, 张丽娜. 一种面向序列切片的扫描电镜三维影像获取系统及方法. CN: CN114049252A, 2022-02-15.
[2] 沈丽君, 洪贝, 韩华, 陈曦. 基于电镜图像的集成电路金属圆孔自动识别方法及系统. CN: CN112200164A, 2021-01-08.
[3] 陈曦, 周芳旭, 韩华, 李琳琳, 马宏图. 基于X光图像的生物组织电镜图像校正方法、系统和装置. CN: CN112396608A, 2021-02-23.
[4] 沈丽君, 常胜, 韩华, 李琳琳, 陈曦. 扫描电镜透射模式与透射电镜联用的病毒快速检测系统. CN: CN112381817A, 2021-02-19.
[5] 陈曦, 吕亚楠, 韩华, 沈丽君. 基于仿射变换的显微序列图像自动拼接方法、系统及装置. CN: CN112381718A, 2021-02-19.
[6] 陈曦, 翟昊, 沈丽君, 谢启伟, 韩华. 基于孪生网络的笼养动物行为分析方法、系统、装置. CN: CN111582214A, 2020-08-25.
[7] 李国庆, 韩华, 陈曦, 孙国栋. 基于随机线段的图像特征分类方法及系统. CN: CN110991541A, 2020-04-10.
[8] 马宏图, 李琳琳, 张丽娜, 陈曦, 韩华. 基于生物组织序列切片刻蚀减薄的三维图像库获取方法. CN: CN110533772A, 2019-12-03.
[9] 张丽娜, 马宏图, 李琳琳, 陈曦, 韩华. 刀刃位置切换方法、装置及包括该装置的超薄切片机. CN: CN110328712A, 2019-10-15.
[10] 陈曦, 舒畅, 韩华, 谢启伟. 生物样品三维结构的构建方法及装置. CN: CN109584368A, 2019-04-05.
[11] 陈曦, 韩华, 沈丽君, 马宏图. 大视场光学显微图像成像装置及方法. CN: CN109283679A, 2019-01-29.
[12] 陈曦, 韩华, 沈丽君, 谢启伟. 显微序列图像拼接方法及装置. CN: CN109584156A, 2019-04-05.
[13] 张丽娜, 马宏图, 李琳琳, 陈曦, 李国庆, 韩华. 超薄切片机及其刀台. CN: CN209132009U, 2019-07-19.
[14] 张丽娜, 马宏图, 李琳琳, 陈曦, 李国庆, 韩华. 超薄切片机及其刀台. CN: CN209132009U, 2019-07-19.
[15] 陈曦, 周芳旭, 韩华, 沈丽君. 多幅显微图像拼接中的灰度校正方法及装置. CN: CN107958442A, 2018-04-24.
[16] 陈曦, 韩华, 李国庆, 谢启伟, 沈丽君. 面向序列切片的扫描电镜图像实时配准装置及方法. CN: CN108038874A, 2018-05-15.
[17] 李国庆, 韩华, 马宏图, 陈曦. 低能量背散射电子探测器. CN: CN107976458A, 2018-05-01.
[18] 李国庆, 韩华, 马宏图, 陈曦. 低能量背散射电子探测器. CN: CN107917924A, 2018-04-17.
[19] 陈曦, 韩华, 谢启伟, 沈丽君. 生物组织序列切片显微图像的配准方法及装置. CN: CN107545567A, 2018-01-05.
[20] 曹会文, 韩华, 陈曦, 饶强, 肖驰. 基于线粒体结构的图像配准方法及装置、存储介质及设备. CN: CN107481224A, 2017-12-15.
[21] 谢启伟, 韩华, 陈曦, 沈丽君, 李国庆. 基于电镜序列切片图像的突触检测方法. CN: CN106407988A, 2017-02-15.
[22] 谢启伟, 韩华, 沈丽君, 陈曦, 李国庆. 基于双光子图像的突触检测方法. CN: CN106373116A, 2017-02-01.
[23] 陈曦, 韩华, 谢启伟, 沈丽君. 小波邻域高斯模型图像复原方法. CN: CN106508111B, 2014-10-22.
[24] 韩华, 胡敏, 陈涛, 陈曦, 谢启伟, 沈丽君. 一种基于多尺度基本形式的相似尺度图像融合方法. CN: CN106508048B, 2014-08-27.
[25] 沈丽君, 陈涛, 韩华, 陈曦, 谢启伟. 利用自适应多尺度基本形式实现图像融合的方法. CN: CN106508047B, 2014-08-27.
[26] 谢启伟, 韩华, 陈曦, 沈丽君. 一种基于图像边缘保持自适应分解的超分辨率重建方法. CN: CN106508045B, 2014-08-27.
[27] 谢启伟, 韩华, 陈曦, 沈丽君. 基于带限二维EMD与Gabor自适应滤波的图像时频分析法. CN: CN106508110B, 2014-07-23.
[2] 沈丽君, 洪贝, 韩华, 陈曦. 基于电镜图像的集成电路金属圆孔自动识别方法及系统. CN: CN112200164A, 2021-01-08.
[3] 陈曦, 周芳旭, 韩华, 李琳琳, 马宏图. 基于X光图像的生物组织电镜图像校正方法、系统和装置. CN: CN112396608A, 2021-02-23.
[4] 沈丽君, 常胜, 韩华, 李琳琳, 陈曦. 扫描电镜透射模式与透射电镜联用的病毒快速检测系统. CN: CN112381817A, 2021-02-19.
[5] 陈曦, 吕亚楠, 韩华, 沈丽君. 基于仿射变换的显微序列图像自动拼接方法、系统及装置. CN: CN112381718A, 2021-02-19.
[6] 陈曦, 翟昊, 沈丽君, 谢启伟, 韩华. 基于孪生网络的笼养动物行为分析方法、系统、装置. CN: CN111582214A, 2020-08-25.
[7] 李国庆, 韩华, 陈曦, 孙国栋. 基于随机线段的图像特征分类方法及系统. CN: CN110991541A, 2020-04-10.
[8] 马宏图, 李琳琳, 张丽娜, 陈曦, 韩华. 基于生物组织序列切片刻蚀减薄的三维图像库获取方法. CN: CN110533772A, 2019-12-03.
[9] 张丽娜, 马宏图, 李琳琳, 陈曦, 韩华. 刀刃位置切换方法、装置及包括该装置的超薄切片机. CN: CN110328712A, 2019-10-15.
[10] 陈曦, 舒畅, 韩华, 谢启伟. 生物样品三维结构的构建方法及装置. CN: CN109584368A, 2019-04-05.
[11] 陈曦, 韩华, 沈丽君, 马宏图. 大视场光学显微图像成像装置及方法. CN: CN109283679A, 2019-01-29.
[12] 陈曦, 韩华, 沈丽君, 谢启伟. 显微序列图像拼接方法及装置. CN: CN109584156A, 2019-04-05.
[13] 张丽娜, 马宏图, 李琳琳, 陈曦, 李国庆, 韩华. 超薄切片机及其刀台. CN: CN209132009U, 2019-07-19.
[14] 张丽娜, 马宏图, 李琳琳, 陈曦, 李国庆, 韩华. 超薄切片机及其刀台. CN: CN209132009U, 2019-07-19.
[15] 陈曦, 周芳旭, 韩华, 沈丽君. 多幅显微图像拼接中的灰度校正方法及装置. CN: CN107958442A, 2018-04-24.
[16] 陈曦, 韩华, 李国庆, 谢启伟, 沈丽君. 面向序列切片的扫描电镜图像实时配准装置及方法. CN: CN108038874A, 2018-05-15.
[17] 李国庆, 韩华, 马宏图, 陈曦. 低能量背散射电子探测器. CN: CN107976458A, 2018-05-01.
[18] 李国庆, 韩华, 马宏图, 陈曦. 低能量背散射电子探测器. CN: CN107917924A, 2018-04-17.
[19] 陈曦, 韩华, 谢启伟, 沈丽君. 生物组织序列切片显微图像的配准方法及装置. CN: CN107545567A, 2018-01-05.
[20] 曹会文, 韩华, 陈曦, 饶强, 肖驰. 基于线粒体结构的图像配准方法及装置、存储介质及设备. CN: CN107481224A, 2017-12-15.
[21] 谢启伟, 韩华, 陈曦, 沈丽君, 李国庆. 基于电镜序列切片图像的突触检测方法. CN: CN106407988A, 2017-02-15.
[22] 谢启伟, 韩华, 沈丽君, 陈曦, 李国庆. 基于双光子图像的突触检测方法. CN: CN106373116A, 2017-02-01.
[23] 陈曦, 韩华, 谢启伟, 沈丽君. 小波邻域高斯模型图像复原方法. CN: CN106508111B, 2014-10-22.
[24] 韩华, 胡敏, 陈涛, 陈曦, 谢启伟, 沈丽君. 一种基于多尺度基本形式的相似尺度图像融合方法. CN: CN106508048B, 2014-08-27.
[25] 沈丽君, 陈涛, 韩华, 陈曦, 谢启伟. 利用自适应多尺度基本形式实现图像融合的方法. CN: CN106508047B, 2014-08-27.
[26] 谢启伟, 韩华, 陈曦, 沈丽君. 一种基于图像边缘保持自适应分解的超分辨率重建方法. CN: CN106508045B, 2014-08-27.
[27] 谢启伟, 韩华, 陈曦, 沈丽君. 基于带限二维EMD与Gabor自适应滤波的图像时频分析法. CN: CN106508110B, 2014-07-23.
出版信息
发表论文
[1] Chang, Sheng, Li, Linlin, Hong, Bei, Liu, Jing, Xu, Yuxuan, Pang, Keliang, Zhang, Lina, Han, Hua, Chen, Xi. An intelligent workflow for sub-nanoscale 3D reconstruction of intact synapses from serial section electron tomography. BMC BIOLOGY[J]. 2023, 第 9 作者 通讯作者 21(1): http://dx.doi.org/10.1186/s12915-023-01696-x.
[2] Haoze Jia, Yanan Lv, Haoran Chen, Xi Chen, Hua Han. Thickness Estimation of Biological Tissue Sections from Structural Deformation. IEEE 6th International Conference on Information Communication and Signal Processing. 2023, 第 4 作者 通讯作者
[3] Xin, Tong, Lv, Yanan, Chen, Haoran, Li, Linlin, Shen, Lijun, Shan, Guangcun, Chen, Xi, Han, Hua. A novel registration method for long-serial section images of EM with a serial split technique based on unsupervised optical flow network. BIOINFORMATICS[J]. 2023, 第 7 作者 通讯作者 39(8): http://dx.doi.org/10.1093/bioinformatics/btad436.
[4] Zhen Gu, Jia Guo, Jinglei Zhai, Guihai Feng, Xianning Wang, Zili Gao, Kai Li, Shen Ji, Leyun Wang, Yanhong Xu, Xi Chen, Yiming Wang, Shanshan Guo, Man Yang, Linlin Li, Hua Han, Liyuan Jiang, Yongqiang Wen, Liu Wang, Jie Hao, Wei Li, Shutao Wang, Hongmei Wang, Qi Gu. A Uterus‐Inspired Niche Drives Blastocyst Development to the Early Organogenesis (Adv. Sci. 28. ADVANCED SCIENCE[J]. 2022, 第 11 作者9(28): https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9534943/.
[5] 陈波昊, 辛桐, 韩华, 陈曦. Performance Analysis in Serial-section Electron Microscopy Image Registration of Neuronal Tissue. SPIE Medical Imaging. 2022, 第 4 作者 通讯作者 12032: 702-709,
[6] Liu, Jing, Qi, Junqian, Chen, Xi, Li, Zhenchen, Hong, Bei, Ma, Hongtu, Li, Guoqing, Shen, Lijun, Liu, Danqian, Kong, Yu, Zhai, Hao, Xie, Qiwei, Han, Hua, Yang, Yang. Fear memory-associated synaptic and mitochondrial changes revealed by deep learning-based processing of electron microscopy data. CELL REPORTS[J]. 2022, 第 3 作者40(5): 111151, http://dx.doi.org/10.1016/j.celrep.2022.111151.
[7] Yi Jiang, Linlin Li, Keliang Pang, Jiazheng Liu, Bohao Chen, Jingbin Yuan, Lijun Shen, Xi Chen, Bai Lu, Hua Han. Synaptic degeneration in the prefrontal cortex of a rat AD model revealed by volume electron microscopy. JOURNAL OF MOLECULAR CELL BIOLOGY[J]. 2022, 第 8 作者14(3): https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9254871/.
[8] Tong Xin, Lijun Shen, Linlin Li, Xi Chen, Hua Han. Expected affine: A registration method for damaged section in serial sections electron microscopy. FRONTIERS IN NEUROINFORMATICS[J]. 2022, 第 4 作者 通讯作者 16: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9478550/.
[9] Zhai, Chao, Zhang, Nan, Li, XiXia, Chen, Xi, Sun, Fei, Dong, MengQiu. Fusion and expansion of vitellogenin vesicles during Caenorhabditis elegans intestinal senescence. AGING CELL[J]. 2022, 第 4 作者21(11): http://dx.doi.org/10.1111/acel.13719.
[10] Fangxu Zhou, Bohao Chen, Xi Chen, Hua Han. Neuronal Morphological Model-Driven Image Registration for Serial Electron Microscopy Sections. FRONTIERSINHUMANNEUROSCIENCE[J]. 2022, 第 3 作者 通讯作者 16: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9119086/.
[11] Chang, Sheng, Shen, Lijun, Li, Linlin, Chen, Xi, Han, Hua. Denoising of scanning electron microscope images for biological ultrastructure enhancement. JOURNAL OF BIOINFORMATICS AND COMPUTATIONAL BIOLOGY[J]. 2022, 第 4 作者 通讯作者 20(3):
[12] Jiang, Yi, Li, Linlin, Chen, Xi, Liu, Jiazheng, Yuan, Jingbin, Xie, Qiwei, Han, Hua. Three-dimensional ATUM-SEM reconstruction and analysis of hepatic endoplasmic reticulum-organelle interactions. JOURNAL OF MOLECULAR CELL BIOLOGY(COVER)[J]. 2021, 第 3 作者13(9): 636-645, http://dx.doi.org/10.1093/jmcb/mjab032.
[13] Wang, Zejin, Liu, Jing, Chen, Xi, Li, Guoqing, Han, Hua. Sparse self-attention aggregation networks for neural sequence slice interpolation. BIODATA MINING[J]. 2021, 第 3 作者14(1): https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7852179/.
[14] Xiao, Chi, Chen, Xi, Xie, Qiwei, Li, Guoqing, Xiao, Hao, Song, Jingdong, Han, Hua. Virus identification in electron microscopy images by residual mixed attention network. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE[J]. 2021, 第 2 作者198: http://dx.doi.org/10.1016/j.cmpb.2020.105766.
[15] Liu, Jing, Hong, Bei, Chen, Xi, Xie, Qiwei, Tang, Yuanyan, Han, Hua. An effective AI integrated system for neuron tracing on anisotropic electron microscopy volume. BIOMEDICAL SIGNAL PROCESSING AND CONTROL[J]. 2021, 第 3 作者69(无): http://dx.doi.org/10.1016/j.bspc.2021.102829.
[16] Zhou, Fangxu, Shen, Lijun, Chen, Bohao, Chen, Xi, Hua, Han. Human attention-inspired volume reconstruction method on serial section electron microscopy images. CYTOMETRY PART A[J]. 2021, 第 4 作者 通讯作者 99(6): 575-585, http://dx.doi.org/10.1002/cyto.a.24332.
[17] Liu, Jing, Li, Linlin, Yang, Yang, Hong, Bei, Chen, Xi, Xie, Qiwei, Han, Hua. Automatic Reconstruction of Mitochondria and Endoplasmic Reticulum in Electron Microscopy Volumes by Deep Learning. FRONTIERS IN NEUROSCIENCE[J]. 2020, 第 5 作者14: https://doaj.org/article/15d204a109b54f9b9ae112dcf4e2ab6d.
[18] Shu, Chang, Xin, Tong, Zhou, Fangxu, Chen, Xi, Han, Hua. Dual Networks for High-Precision and High-Speed Registration of Brain Electron Microscopy Images. BRAIN SCIENCES[J]. 2020, 第 4 作者 通讯作者 10(2): https://doaj.org/article/281eaee52c6c436fa179e9c36a6df4f3.
[19] Chang, Sheng, Zhou, Fangxu, Chen, Xi, Han, Hua, Pan, Z, Wang, X. Electron Microscopic Sequential Images Stitching Based on Belief Propagation. ELEVENTH INTERNATIONAL CONFERENCE ON GRAPHICS AND IMAGE PROCESSING (ICGIP 2019). 2020, 第 3 作者11373:
[20] Xi Chen, Hao Zhai, Hua Han. SiamBOMB: A Real-time AI-based System for Home-cage Animal Tracking, Segmentation and Behavioral Analysis. International Conference on Artificial Intelligence(IJCAI). 2020, 第 1 作者
[21] Liu, Danqian, Li, Weifu, Ma, Chenyan, Zheng, Weitong, Yao, Yuanyuan, Tso, Chak Foon, Zhong, Peng, Chen, Xi, Song, Jun Ho, Choi, Woochul, Paik, SeBum, Han, Hua, Dan, Yang. A common hub for sleep and motor control in the substantia nigra. SCIENCE[J]. 2020, 第 8 作者367(6476): 440-+, https://www.webofscience.com/wos/woscc/full-record/WOS:000509810200041.
[22] Shu, Chang, Li, LinLin, Li, Guoqing, Chen, Xi, Han, Hua. A Noniterative Simultaneous Rigid Registration Method for Serial Sections of Biological Tissues. APPLIED SCIENCES-BASEL[J]. 2020, 第 4 作者 通讯作者 10(3): http://dx.doi.org/10.3390/app10031156.
[23] Lv, Yanan, Chen, Xi, Shu, Chang, Han, Hua, IEEE. Robust Global Optimized Affine Registration Method for Microscopic Images of Biological Tissue. 2020 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING. 2020, 第 2 作者1070-1074,
[24] Chen, Bohao, Chang, Sheng, Chen, Xi, Han, Hua, Pan, Z, Wang, X. Using Scale Information to Improve SIFT-Based Electron Microscope Image Registration Method. ELEVENTH INTERNATIONAL CONFERENCE ON GRAPHICS AND IMAGE PROCESSING (ICGIP 2019). 2020, 第 3 作者11373: 113732C,
[25] Wang, Hao, Zhu, Qingyuan, Ding, Lufeng, Shen, Yan, Yang, ChaoYu, Xu, Fang, Shu, Chang, Guo, Yujie, Xiong, Zhiwei, Shan, Qinghong, Jia, Fan, Su, Peng, Yang, QianRu, Li, Bing, Cheng, Yuxiao, He, Xiaobin, Chen, Xi, Wu, Feng, Zhou, JiangNing, Xu, Fuqiang, Han, Hua, Lau, PakMing, Bi, GuoQiang. Scalable volumetric imaging for ultrahigh-speed brain mapping at synaptic resolution. NATIONAL SCIENCE REVIEW[J]. 2019, 第 17 作者6(5): 982-992, http://dx.doi.org/10.1093/nsr/nwz053.
[26] Yu, Chong, Chen, Xi, Yin, Lei, Shu, Chang, Zhao, Li, Han, Hua. Image deformation based on contour using moving integral least squares. IET IMAGE PROCESSING[J]. 2019, 第 2 作者 通讯作者 13(1): 152-160, http://ir.ia.ac.cn/handle/173211/25663.
[27] Xie, Qiwei, Chen, Xi, Zhang, Liming, Jiang, An, Cui, Feng. A Robust and Efficient Video Anti-Shaking Algorithm for Low-End Smartphone Platforms. IEEE TRANSACTIONS ON CONSUMER ELECTRONICS[J]. 2019, 第 2 作者65(1): 1-10, http://ir.ia.ac.cn/handle/173211/25277.
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[48] Yu Chong, Chen Xi, Xie Qiwei, Li Guoqing, Yin Lei, Han Hua, IEEE. Image Deformation Using Modified Moving Least Squares with Outlines. 2017IEEEINTERNATIONALCONFERENCEONMECHATRONICSANDAUTOMATIONICMA. 2017, 第 11 作者1047-1051, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000426271700184.
[49] Xie, Qiwei, Chen, Xi, Deng, Hao, Liu, Danqian, Sun, Yingyu, Zhou, Xiaojuan, Yang, Yang, Han, Hua. An automated pipeline for bouton, spine, and synapse detection of in vivo two-photon images. BIODATA MINING[J]. 2017, 第 2 作者10(1): https://doaj.org/article/6f5ebf075a004776acc9f4996e5ed9c3.
[50] Xixia Li, Gang Ji, Xi Chen, Wei Ding, Lei Sun, Wei Xu, Hua Han, Fei Sun. Large scale three-dimensional reconstruction of an entire Caenorhabditis elegans larva using AutoCUTS-SEM. JOURNAL OF STRUCTURAL BIOLOGY. 2017, 第 3 作者200(2): 87-96, http://dx.doi.org/10.1016/j.jsb.2017.09.010.
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科研活动
科研项目
（ 1 ） 大目标场景下的电镜图像拼接方法研究, 负责人, 国家任务, 2013-01--2015-12
（ 2 ） 智能汽车的视觉感知关键技术研究, 参与, 国家任务, 2017-01--2020-12
（ 3 ） 突触水平神经大数据重建与分析平台, 参与, 地方任务, 2016-05--2018-12
（ 4 ） 生物切片序列高通量扫描电镜三维影像系统, 参与, 中国科学院计划, 2017-01--2018-12
（ 5 ） 微观脑网络结构分析与重构, 参与, 中国科学院计划, 2015-07--2017-06
（ 6 ） 果蝇脑超薄切片图像处理, 负责人, 企业委托, 2014-10--2017-12
（ 7 ） 大脑微观三维重建, 参与, 研究所自选, 2014-01--2015-06
（ 8 ） 果蝇视觉系统的微观结构重建及网络分析, 参与, 国家任务, 2017-07--2020-06
（ 9 ） 面向超薄序列切片的三维电镜自动成像技术研究, 参与, 国家任务, 2018-01--2020-12
（ 10 ） 灵长类全脑神经联接图谱计划, 参与, 中国科学院计划, 2017-01--2021-12
（ 11 ） 纳米级芯片智能分析系统研发及产业化, 负责人, 地方任务, 2018-07--2020-06
（ 12 ） 生物序列切片扫描电镜图像实时配准技术功能开发, 负责人, 中国科学院计划, 2018-09--2020-08
（ 13 ） 序列切片透射电镜电子断层成像数据配准系统研制, 负责人, 中国科学院计划, 2020-09--2023-08
（ 14 ） 笼养动物实时跟踪、分割和行为分析的智能化系统, 负责人, 中国科学院计划, 2020-01--2021-12
（ 15 ） 中科院关键技术人才, 负责人, 中国科学院计划, 2019-01--2021-12
（ 16 ） 三维电镜成像技术, 负责人, 企业委托, 2023-03--2026-12
（ 17 ） 生物切片阵列大面积离子减薄仪, 参与, 中国科学院计划, 2022-01--2023-12
（ 2 ） 智能汽车的视觉感知关键技术研究, 参与, 国家任务, 2017-01--2020-12
（ 3 ） 突触水平神经大数据重建与分析平台, 参与, 地方任务, 2016-05--2018-12
（ 4 ） 生物切片序列高通量扫描电镜三维影像系统, 参与, 中国科学院计划, 2017-01--2018-12
（ 5 ） 微观脑网络结构分析与重构, 参与, 中国科学院计划, 2015-07--2017-06
（ 6 ） 果蝇脑超薄切片图像处理, 负责人, 企业委托, 2014-10--2017-12
（ 7 ） 大脑微观三维重建, 参与, 研究所自选, 2014-01--2015-06
（ 8 ） 果蝇视觉系统的微观结构重建及网络分析, 参与, 国家任务, 2017-07--2020-06
（ 9 ） 面向超薄序列切片的三维电镜自动成像技术研究, 参与, 国家任务, 2018-01--2020-12
（ 10 ） 灵长类全脑神经联接图谱计划, 参与, 中国科学院计划, 2017-01--2021-12
（ 11 ） 纳米级芯片智能分析系统研发及产业化, 负责人, 地方任务, 2018-07--2020-06
（ 12 ） 生物序列切片扫描电镜图像实时配准技术功能开发, 负责人, 中国科学院计划, 2018-09--2020-08
（ 13 ） 序列切片透射电镜电子断层成像数据配准系统研制, 负责人, 中国科学院计划, 2020-09--2023-08
（ 14 ） 笼养动物实时跟踪、分割和行为分析的智能化系统, 负责人, 中国科学院计划, 2020-01--2021-12
（ 15 ） 中科院关键技术人才, 负责人, 中国科学院计划, 2019-01--2021-12
（ 16 ） 三维电镜成像技术, 负责人, 企业委托, 2023-03--2026-12
（ 17 ） 生物切片阵列大面积离子减薄仪, 参与, 中国科学院计划, 2022-01--2023-12