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3DSEM: A 3D microscopy dataset
The Scanning Electron Microscope (SEM) as a 2D imaging instrument has been widely used in many scientific disciplines including biological, mechanical, and materials sciences to determine the surface attributes of microscopic objects. However the SEM micrographs still remain 2D images. To effectivel...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4685174/ https://www.ncbi.nlm.nih.gov/pubmed/26779561 http://dx.doi.org/10.1016/j.dib.2015.11.018 |
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author | Tafti, Ahmad P. Kirkpatrick, Andrew B. Holz, Jessica D. Owen, Heather A. Yu, Zeyun |
author_facet | Tafti, Ahmad P. Kirkpatrick, Andrew B. Holz, Jessica D. Owen, Heather A. Yu, Zeyun |
author_sort | Tafti, Ahmad P. |
collection | PubMed |
description | The Scanning Electron Microscope (SEM) as a 2D imaging instrument has been widely used in many scientific disciplines including biological, mechanical, and materials sciences to determine the surface attributes of microscopic objects. However the SEM micrographs still remain 2D images. To effectively measure and visualize the surface properties, we need to truly restore the 3D shape model from 2D SEM images. Having 3D surfaces would provide anatomic shape of micro-samples which allows for quantitative measurements and informative visualization of the specimens being investigated. The 3DSEM is a dataset for 3D microscopy vision which is freely available at [1] for any academic, educational, and research purposes. The dataset includes both 2D images and 3D reconstructed surfaces of several real microscopic samples. |
format | Online Article Text |
id | pubmed-4685174 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-46851742016-01-15 3DSEM: A 3D microscopy dataset Tafti, Ahmad P. Kirkpatrick, Andrew B. Holz, Jessica D. Owen, Heather A. Yu, Zeyun Data Brief Data Article The Scanning Electron Microscope (SEM) as a 2D imaging instrument has been widely used in many scientific disciplines including biological, mechanical, and materials sciences to determine the surface attributes of microscopic objects. However the SEM micrographs still remain 2D images. To effectively measure and visualize the surface properties, we need to truly restore the 3D shape model from 2D SEM images. Having 3D surfaces would provide anatomic shape of micro-samples which allows for quantitative measurements and informative visualization of the specimens being investigated. The 3DSEM is a dataset for 3D microscopy vision which is freely available at [1] for any academic, educational, and research purposes. The dataset includes both 2D images and 3D reconstructed surfaces of several real microscopic samples. Elsevier 2015-12-02 /pmc/articles/PMC4685174/ /pubmed/26779561 http://dx.doi.org/10.1016/j.dib.2015.11.018 Text en © 2015 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Data Article Tafti, Ahmad P. Kirkpatrick, Andrew B. Holz, Jessica D. Owen, Heather A. Yu, Zeyun 3DSEM: A 3D microscopy dataset |
title | 3DSEM: A 3D microscopy dataset |
title_full | 3DSEM: A 3D microscopy dataset |
title_fullStr | 3DSEM: A 3D microscopy dataset |
title_full_unstemmed | 3DSEM: A 3D microscopy dataset |
title_short | 3DSEM: A 3D microscopy dataset |
title_sort | 3dsem: a 3d microscopy dataset |
topic | Data Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4685174/ https://www.ncbi.nlm.nih.gov/pubmed/26779561 http://dx.doi.org/10.1016/j.dib.2015.11.018 |
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