Multislice Electron Tomography Using Four-Dimensional Scanning Transmission Electron Microscopy



The MSET source codes for the paper [J. Lee, M. Lee, Y.K. Park, C. Ophus, and Y. Yang, "Multislice Electron Tomography Using Four-Dimensional Scanning Transmission Electron Microscopy", Phys. Rev. Applied 19, 054062 (2023)] are posted below.


Electron tomography offers useful three-dimensional (3D) structural information, which cannot be observed by two-dimensional imaging. By combining annular dark-field scanning transmission electron microscopy (ADF STEM) with aberration correction, the resolution of electron tomography has reached atomic resolution. However, tomography based on ADF STEM inherently suffers from several issues, including a high electron-dose requirement, poor contrast for light elements, and artifacts from image-contrast nonlinearity. Here, we develop an alternative method called multislice electron tomography (MSET) based on four-dimensional STEM tilt series. Our simulations show that multislice-based 3D reconstruction can effectively reduce undesirable reconstruction artifacts from the nonlinear contrast, allowing precise determination of atomic structures with improved sensitivity for low-Z elements, at considerably low electron-dose conditions. We expect that the MSET method can be applied to a wide variety of materials, including radiation-sensitive samples and materials containing light elements whose 3D atomic structures have never been fully elucidated due to electron-dose limitations or nonlinear imaging contrast.


- Source codes for multislice electron tomography


If you use any of the above MSET source codes in your publications and/or presentations, our paper should be properly cited: J. Lee, M. Lee, Y.K. Park, C. Ophus, and Y. Yang, "Multislice Electron Tomography Using Four-Dimensional Scanning Transmission Electron Microscopy", Phys. Rev. Applied 19, 054062 (2023).

If you have any questions regarding the above MSET source codes, please contact Yongsoo Yang, Department of Physics, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Korea. Email: yongsoo.yang@kaist.ac.kr