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

    Suhas Somnath | Oak Ridge National Laboratory
    Christopher R Smith | Oak Ridge National Laboratory
    Sergei V Kalinin | Oak Ridge National Laboratory
    Miaofang Ch | Oak Ridge National Laboratory
    Albina Y Borisevich | Oak Ridge National Laboratory
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Description

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

Funding Information

DOE Contract Number

DEAC0500OR22725

Originating Research Organization

Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)

Sponsoring Organization

Office of Science (SC), Advanced Scientific Computing Research (ASCR) (SC-21)

Related Works

Details

Release Date

August 9, 2018

Subject

36 MATERIALS SCIENCE, 37 INORGANIC, ORGANIC, PHYSICAL, AND ANALYTICAL CHEMISTRY, 77 NANOSCIENCE AND NANOTECHNOLOGY, 97 MATHEMATICS AND COMPUTING

Keywords

Scanning Transmission Electron Microscopy

Dataset

Dataset Type

ND Numeric Data

Software

python 2.7 or 3.4+, with software packages: numpy, scipy, scikit-learn, scikit-image, h5py, matplotlib, pyUSID, pycroscopy

Cite This Dataset:

Somnath, S., Smith, C., Kalinin, S., Ch, M., Borisevich, A., Cross, N., Duscher, G., Jesse, S. (2018). Feature extraction via similarity search: application to atom finding and denoising in electron and scanning probe microscopy imaging. Oak Ridge National Laboratory. https://doi.org/10.13139/OLCF/1463696.

Acknowledgements

This research used resources of the Oak Ridge Leadership Computing Facility at the Oak Ridge National Laboratory, which is supported by the Advanced Scientific Computing Research programs in the Office of Science of the U.S. Department of Energy under Contract No. DE-AC05-00OR22725.