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高等学校化学研究 ›› 2025, Vol. 41 ›› Issue (2): 168-180.doi: 10.1007/s40242-025-4235-5

• Reviews • 上一篇    下一篇

Imaging Chemical Compositions in Three Dimensions

WEN Xin1, ZHOU Wangxin1, HUANG Zhehao1,2, ZHANG Hui1,2,3,4, HAN Yu1,2,3,4   

  1. 1. School of Emergent Soft Matter, South China University of Technology, Guangzhou 510640, P. R. China;
    2. Center for Electron Microscopy, South China University of Technology, Guangzhou 510640, P. R. China;
    3. Guangdong Provincial Key Laboratory of Functional and Intelligent Hybrid Materials and Devices, South China University of Technology, Guangzhou 510640, P. R. China;
    4. Guangdong Basic Research Center of Excellence for Energy and Information Polymer Materials, South China University of Technology, Guangzhou 510640, P. R. China
  • 收稿日期:2024-12-09 接受日期:2024-12-31 出版日期:2025-04-01 发布日期:2025-03-31
  • 通讯作者: ZHANG Hui,huizhang2023@scut.edu.cn E-mail:huizhang2023@scut.edu.cn
  • 基金资助:
    This work was supported by the National Natural Science Foundation of China (No. 52473234), the Fundamental Research Funds for the Central Universities of China, the GJYC Program of Guangzhou City, China (No. 2024D03J0001) and the Open Research Fund of Songshan Lake Materials Laboratory, China (No. 2023SLABFK04).

Imaging Chemical Compositions in Three Dimensions

WEN Xin1, ZHOU Wangxin1, HUANG Zhehao1,2, ZHANG Hui1,2,3,4, HAN Yu1,2,3,4   

  1. 1. School of Emergent Soft Matter, South China University of Technology, Guangzhou 510640, P. R. China;
    2. Center for Electron Microscopy, South China University of Technology, Guangzhou 510640, P. R. China;
    3. Guangdong Provincial Key Laboratory of Functional and Intelligent Hybrid Materials and Devices, South China University of Technology, Guangzhou 510640, P. R. China;
    4. Guangdong Basic Research Center of Excellence for Energy and Information Polymer Materials, South China University of Technology, Guangzhou 510640, P. R. China
  • Received:2024-12-09 Accepted:2024-12-31 Online:2025-04-01 Published:2025-03-31
  • Contact: ZHANG Hui,huizhang2023@scut.edu.cn E-mail:huizhang2023@scut.edu.cn
  • Supported by:
    This work was supported by the National Natural Science Foundation of China (No. 52473234), the Fundamental Research Funds for the Central Universities of China, the GJYC Program of Guangzhou City, China (No. 2024D03J0001) and the Open Research Fund of Songshan Lake Materials Laboratory, China (No. 2023SLABFK04).

摘要: The three-dimensional (3D) imaging of structural and compositional features at the nanometer and atomic scale is crucial for advancing the applications of nanomaterials in energy storage and catalysis. Transmission electron microscopy, particularly in scanning mode, has traditionally provided atomic-resolution structural insights. However, achieving high-resolution 3D compositional imaging of beam-sensitive materials remains formidably challenging due to the limitation of electron dose. Recent innovations in hardware and computational methods, such as data-fusing and deep learning, have enabled 3D compositional imaging at the sub-nanometer scale with significantly reduced electron doses. This review highlights the principles, advancements, and applications of electron tomography and associated techniques for 3D compositional imaging, summarizes state-of-the-art progress achieved by multimodal tomography and model-free reconstructions, and underscores the transformative potential of these developments for 3D high-resolution characterizations of beam-sensitive materials.

关键词: Transmission electron microscopy, Compositional imaging, Beam-sensitive material

Abstract: The three-dimensional (3D) imaging of structural and compositional features at the nanometer and atomic scale is crucial for advancing the applications of nanomaterials in energy storage and catalysis. Transmission electron microscopy, particularly in scanning mode, has traditionally provided atomic-resolution structural insights. However, achieving high-resolution 3D compositional imaging of beam-sensitive materials remains formidably challenging due to the limitation of electron dose. Recent innovations in hardware and computational methods, such as data-fusing and deep learning, have enabled 3D compositional imaging at the sub-nanometer scale with significantly reduced electron doses. This review highlights the principles, advancements, and applications of electron tomography and associated techniques for 3D compositional imaging, summarizes state-of-the-art progress achieved by multimodal tomography and model-free reconstructions, and underscores the transformative potential of these developments for 3D high-resolution characterizations of beam-sensitive materials.

Key words: Transmission electron microscopy, Compositional imaging, Beam-sensitive material