Skip to main content
U.S. Department of Energy
Office of Scientific and Technical Information

Implementing an Accurate and Rapid Sparse Sampling Approach for Low-Dose Atomic Resolution STEM Imaging

Journal Article · · Applied Physics Letters
DOI:https://doi.org/10.1063/1.4965720· OSTI ID:1332608
 [1];  [2];  [1];  [3]
  1. Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
  2. Pacific Northwest National Lab. (PNNL), Richland, WA (United States); Duke Univ., Durham, NC (United States)
  3. Pacific Northwest National Lab. (PNNL), Richland, WA (United States); Univ. of Washington, Seattle, WA (United States)
Aberration correction for scanning transmission electron microscopes (STEM) has dramatically increased spatial image resolution for beam-stable materials, but it is the sample stability rather than the microscope that often limits the practical resolution of STEM images. To extract physical information from images of beam sensitive materials it is becoming clear that there is a critical dose/dose-rate below which the images can be interpreted as representative of the pristine material, while above it the observation is dominated by beam effects. Here we describe an experimental approach for sparse sampling in the STEM and in-painting image reconstruction in order to reduce the electron dose/dose-rate to the sample during imaging. By characterizing the induction limited rise-time and hysteresis in scan coils, we show that sparse line-hopping approach to scan randomization can be implemented that optimizes both the speed of the scan and the amount of the sample that needs to be illuminated by the beam. The dose and acquisition time for the sparse sampling is shown to be effectively decreased by factor of 5x relative to conventional acquisition, permitting imaging of beam sensitive materials to be obtained without changing the microscope operating parameters. As a result, the use of sparse line-hopping scan to acquire STEM images is demonstrated with atomic resolution aberration corrected Z-contrast images of CaCO3, a material that is traditionally difficult to image by TEM/STEM because of dose issues.
Research Organization:
Pacific Northwest National Laboratory (PNNL), Richland, WA (United States). Environmental Molecular Sciences Laboratory (EMSL)
Sponsoring Organization:
USDOE
Grant/Contract Number:
AC05-76RL01830
OSTI ID:
1332608
Alternate ID(s):
OSTI ID: 1329496
Report Number(s):
PNNL-SA--120342; 49204; KP1704020
Journal Information:
Applied Physics Letters, Journal Name: Applied Physics Letters Journal Issue: 16 Vol. 109; ISSN 0003-6951
Publisher:
American Institute of Physics (AIP)Copyright Statement
Country of Publication:
United States
Language:
English

References (36)

Modeling Nanoscale Imaging in Electron Microscopy book January 2012
Compressed Sensing and Electron Microscopy book January 2012
Low-dose high-resolution electron microscopy of zeolite materials with a slow-scan CCD camera journal March 1993
The structural study of membrane proteins by electron crystallography journal January 1998
ICON: 3D reconstruction with ‘missing-information’ restoration in biological electron tomography journal July 2016
Radiation damage in the TEM and SEM journal August 2004
TEM preparation methods and influence of radiation damage on the beam sensitive CaCO3 shell of Emiliania huxleyi journal July 2014
Low-dose aberration corrected cryo-electron microscopy of organic specimens journal November 2008
Compressed sensing electron tomography journal August 2013
XEDS STEM tomography for 3D chemical characterization of nanoscale particles journal August 2013
Optimized imaging using non-rigid registration journal March 2014
Comparison of optimal performance at 300keV of three direct electron detectors for use in low dose electron microscopy journal December 2014
The structural study of membrane proteins by electron crystallography journal January 1998
Quantifying the Advantages of Compressive Sensing and Sparse Reconstruction for Scanning Transmission Electron Microscopy journal July 2016
Compressed Sensing book May 2012
Controlled Growth of Nanoparticles from Solution with In Situ Liquid Transmission Electron Microscopy journal July 2011
Electron microscopy image enhanced journal April 1998
Sub-ångstrom resolution using aberration corrected electron optics journal August 2002
Efficient linear phase contrast in scanning transmission electron microscopy with matched illumination and detector interferometry journal February 2016
Ptychographic electron microscopy using high-angle dark-field scattering for sub-nanometre resolution imaging journal January 2012
Electron counting and beam-induced motion correction enable near-atomic-resolution single-particle cryo-EM journal May 2013
Development of a fast electromagnetic beam blanker for compressed sensing in scanning transmission electron microscopy journal February 2016
Segregation of Mn 2+ Dopants as Interstitials in SrTiO 3 Grain Boundaries journal October 2013
Electron beam damage in oxides: a review journal December 2015
The potential for Bayesian compressive sensing to significantly reduce electron dose in high-resolution STEM images journal October 2013
Atomic-Resolution STEM Imaging of Graphene at Low Voltage of 30 kV with Resolution Enhancement by Using Large Convergence Angle journal April 2015
Compressed Sensing MRI journal March 2008
Nonparametric Bayesian Dictionary Learning for Analysis of Noisy and Incomplete Images journal January 2012
Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information journal February 2006
Compressed sensing journal April 2006
Sparse imaging for fast electron microscopy conference February 2013
Opportunities and challenges in liquid cell electron microscopy journal December 2015
Reduced-dose and high-speed acquisition strategies for multi-dimensional electron microscopy journal May 2015
Applying compressive sensing to TEM video: a substantial frame rate increase on any camera journal August 2015
Optimized imaging using non-rigid registration text January 2014
Robust Uncertainty Principles: Exact Signal Reconstruction from Highly Incomplete Frequency Information preprint January 2004

Cited By (13)

Liquid cell transmission electron microscopy and its applications journal January 2020
Materials Structure, Properties and Dynamics through Scanning Transmission Electron Microscopy text January 2019
Emerging Electron Microscopy Techniques for Probing Functional Interfaces in Energy Materials journal October 2019
Emerging Electron Microscopy Techniques for Probing Functional Interfaces in Energy Materials journal January 2020
Quantitative Mapping of Nanoscale Chemical Dynamics in Sub-Sampled Operando (S)TEM Images using Spatio-Temporal Analytics journal May 2018
Implementing Sub-sampling Methods for Low-Dose (Scanning) Transmission Electron Microscopy (S/TEM) journal July 2017
Acquisition of STEM Images by Adaptive Compressive Sensing journal July 2017
A sub-sampled approach to extremely low-dose STEM journal January 2018
Controlling the spatio-temporal dose distribution during STEM imaging by subsampled acquisition: In-situ observations of kinetic processes in liquids journal August 2019
Event detection for undersampled electron microscopy experiments: A control chart case study journal November 2019
Direct atomic fabrication and dopant positioning in Si using electron beams with active real-time image-based feedback journal April 2018
Material structure, properties, and dynamics through scanning transmission electron microscopy journal April 2018
Automating material image analysis for material discovery journal April 2019

Similar Records

A sub-sampled approach to extremely low-dose STEM
Journal Article · Sun Jan 21 23:00:00 EST 2018 · Applied Physics Letters · OSTI ID:1421341

Automating STEM Aberration Correction via Bayesian Optimization
Journal Article · Fri Jul 21 20:00:00 EDT 2023 · Microscopy and Microanalysis · OSTI ID:2234070

The Potential for Bayesian Compressive Sensing to Significantly Reduce Electron Dose in High Resolution STEM Images
Journal Article · Mon Feb 10 23:00:00 EST 2014 · Journal of Electron Microscopy, 63(1):41 - 51 · OSTI ID:1129350