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Feature extraction via similarity search: application to atom finding and denoising in electron and scanning probe microscopy imaging
We develop an algorithm for feature extraction based on structural similarity and demonstrate its application for atom and pattern finding in high-resolution electron and scanning probe microscopy images. The use of the combined local identifiers formed from an image subset and appended Fourier, or...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5846807/ https://www.ncbi.nlm.nih.gov/pubmed/29568723 http://dx.doi.org/10.1186/s40679-018-0052-y |
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author | Somnath, Suhas Smith, Christopher R. Kalinin, Sergei V. Chi, Miaofang Borisevich, Albina Cross, Nicholas Duscher, Gerd Jesse, Stephen |
author_facet | Somnath, Suhas Smith, Christopher R. Kalinin, Sergei V. Chi, Miaofang Borisevich, Albina Cross, Nicholas Duscher, Gerd Jesse, Stephen |
author_sort | Somnath, Suhas |
collection | PubMed |
description | We develop an algorithm for feature extraction based on structural similarity and demonstrate its application for atom and pattern finding in high-resolution electron and scanning probe microscopy images. The use of the combined local identifiers formed from an image subset and appended Fourier, or other transform, allows tuning selectivity to specific patterns based on the nature of the recognition task. The proposed algorithm is implemented in Pycroscopy, a community-driven scientific data analysis package, and is accessible through an interactive Jupyter notebook available on GitHub. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s40679-018-0052-y) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5846807 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-58468072018-03-20 Feature extraction via similarity search: application to atom finding and denoising in electron and scanning probe microscopy imaging Somnath, Suhas Smith, Christopher R. Kalinin, Sergei V. Chi, Miaofang Borisevich, Albina Cross, Nicholas Duscher, Gerd Jesse, Stephen Adv Struct Chem Imaging Research We develop an algorithm for feature extraction based on structural similarity and demonstrate its application for atom and pattern finding in high-resolution electron and scanning probe microscopy images. The use of the combined local identifiers formed from an image subset and appended Fourier, or other transform, allows tuning selectivity to specific patterns based on the nature of the recognition task. The proposed algorithm is implemented in Pycroscopy, a community-driven scientific data analysis package, and is accessible through an interactive Jupyter notebook available on GitHub. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s40679-018-0052-y) contains supplementary material, which is available to authorized users. Springer International Publishing 2018-03-01 2018 /pmc/articles/PMC5846807/ /pubmed/29568723 http://dx.doi.org/10.1186/s40679-018-0052-y Text en © The Author(s) 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Research Somnath, Suhas Smith, Christopher R. Kalinin, Sergei V. Chi, Miaofang Borisevich, Albina Cross, Nicholas Duscher, Gerd Jesse, Stephen Feature extraction via similarity search: application to atom finding and denoising in electron and scanning probe microscopy imaging |
title | Feature extraction via similarity search: application to atom finding and denoising in electron and scanning probe microscopy imaging |
title_full | Feature extraction via similarity search: application to atom finding and denoising in electron and scanning probe microscopy imaging |
title_fullStr | Feature extraction via similarity search: application to atom finding and denoising in electron and scanning probe microscopy imaging |
title_full_unstemmed | Feature extraction via similarity search: application to atom finding and denoising in electron and scanning probe microscopy imaging |
title_short | Feature extraction via similarity search: application to atom finding and denoising in electron and scanning probe microscopy imaging |
title_sort | feature extraction via similarity search: application to atom finding and denoising in electron and scanning probe microscopy imaging |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5846807/ https://www.ncbi.nlm.nih.gov/pubmed/29568723 http://dx.doi.org/10.1186/s40679-018-0052-y |
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