Feature extraction via similarity search: application to atom finding and denoising in electron and scanning probe microscopy imaging

10.13139/OLCF/1463696

Datasets (raw data, intermediate results, and final results) and Jupyter notebooks as part of the following journal publication: Feature extraction via similarity search: application to atom finding and denoising in electron and scanning probe microscopy imaging Suhas Somnath, Christopher R. Smith, Sergei V. Kalinin, Miaofang Chi, Albina Borisevich, Nicholas Cross, Gerd Duscher and Stephen Jesse Advanced Structural and Chemical Imaging, 2018, 4:3 https://doi.org/10.1186/s40679-018-0052-y

Published: 2018-08-09 16:33:01 Download Dataset

Dataset Properties

Field Value
Authors
  • Somnath, Suhas Oak Ridge National Laboratory
  • Smith, Christopher R Oak Ridge National Laboratory
  • Kalinin, Sergei V Oak Ridge National Laboratory
  • Ch, Miaofang Oak Ridge National Laboratory
  • Borisevich, Albina Y Oak Ridge National Laboratory
  • Cross, Nicholas University of Tennessee, Knoxville
  • Duscher, Gerd Oak Ridge National Laboratory
  • Jesse, Stephen Oak Ridge National Laboratory
Project Identifier STF011
Dataset Type ND Numeric Data
Subjects
  • 36 MATERIALS SCIENCE
  • 37 INORGANIC, ORGANIC, PHYSICAL, AND ANALYTICAL CHEMISTRY
  • 77 NANOSCIENCE AND NANOTECHNOLOGY
  • 97 MATHEMATICS AND COMPUTING
Keywords
  • Scanning Transmission Electron Microscopy
Software Needed python 2.7 or 3.4+, with software packages: numpy, scipy, scikit-learn, scikit-image, h5py, matplotlib, pyUSID, pycroscopy
Originating Organizations Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
Sponsoring Organizations Office of Science (SC), Advanced Scientific Computing Research (ASCR) (SC-21)
DOE Contract DEAC0500OR22725
Related Identifiers
  • IsSupplementTo (DOI) 10.1186/s40679-018-0052-y

Acknowledgements

Papers using this dataset are requested to include the following text in their acknowledgements:

*Support for 10.13139/OLCF/1463696 is provided by the U.S. Department of Energy, project STF011 under Contract DEAC0500OR22725. This research used resources of the Oak Ridge Leadership Computing Facility, which is a DOE Office of Science User Facility.