Deep-Learning Electron Diffractive Imaging.

Journal: Physical review letters
Published Date:

Abstract

We report the development of deep-learning coherent electron diffractive imaging at subangstrom resolution using convolutional neural networks (CNNs) trained with only simulated data. We experimentally demonstrate this method by applying the trained CNNs to recover the phase images from electron diffraction patterns of twisted hexagonal boron nitride, monolayer graphene, and a gold nanoparticle with comparable quality to those reconstructed by a conventional ptychographic algorithm. Fourier ring correlation between the CNN and ptychographic images indicates the achievement of a resolution in the range of 0.70 and 0.55 Å. We further develop CNNs to recover the probe function from the experimental data. The ability to replace iterative algorithms with CNNs and perform real-time atomic imaging from coherent diffraction patterns is expected to find applications in the physical and biological sciences.

Authors

  • Dillan J Chang
    Department of Physics and Astronomy and California NanoSystems Institute, University of California, Los Angeles, California 90095, USA.
  • Colum M O'Leary
    Department of Physics and Astronomy and California NanoSystems Institute, University of California, Los Angeles, California 90095, USA.
  • Cong Su
    Department of Physics, University of California at Berkeley, Berkeley, California 94720, USA.
  • Daniel A Jacobs
    School of Kinesiology, University of Michigan, 401 Washtenaw Ave CCRB, Ann Arbor, MI, USA.
  • Salman Kahn
    Department of Physics, University of California at Berkeley, Berkeley, California 94720, USA.
  • Alex Zettl
    Department of Physics, University of California at Berkeley, Berkeley, California 94720, USA.
  • Jim Ciston
    National Center for Electron Microscopy, Molecular Foundry, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA.
  • Peter Ercius
    National Center for Electron Microscopy, Molecular Foundry, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA.
  • Jianwei Miao
    Department of Physics and Astronomy and California NanoSystems Institute, University of California, Los Angeles, California 90095, USA.