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Three-dimensional reconstruction of surface nanoarchitecture from two-dimensional datasets
The design of biomaterial surfaces relies heavily on the ability to accurately measure and visualize the three-dimensional surface nanoarchitecture of substrata. Here, we present a technique for producing three-dimensional surface models using displacement maps that are based on the data obtained fr...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3917702/ https://www.ncbi.nlm.nih.gov/pubmed/24410821 http://dx.doi.org/10.1186/2191-0855-4-3 |
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author | Boshkovikj, Veselin Webb, Hayden K Pham, Vy T H Fluke, Christopher J Crawford, Russell J Ivanova, Elena P |
author_facet | Boshkovikj, Veselin Webb, Hayden K Pham, Vy T H Fluke, Christopher J Crawford, Russell J Ivanova, Elena P |
author_sort | Boshkovikj, Veselin |
collection | PubMed |
description | The design of biomaterial surfaces relies heavily on the ability to accurately measure and visualize the three-dimensional surface nanoarchitecture of substrata. Here, we present a technique for producing three-dimensional surface models using displacement maps that are based on the data obtained from two-dimensional analyses. This technique is particularly useful when applied to scanning electron micrographs that have been calibrated using atomic force microscopy (AFM) roughness data. The evaluation of four different surface types, including thin titanium films, silicon wafers, polystyrene cell culture dishes and dragonfly wings confirmed that this technique is particularly effective for the visualization of conductive surfaces such as metallic titanium. The technique is particularly useful for visualizing surfaces that cannot be easily analyzed using AFM. The speed and ease with which electron micrographs can be recorded, combined with a relatively simple process for generating displacement maps, make this technique useful for the assessment of the surface topography of biomaterials. |
format | Online Article Text |
id | pubmed-3917702 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Springer |
record_format | MEDLINE/PubMed |
spelling | pubmed-39177022014-02-20 Three-dimensional reconstruction of surface nanoarchitecture from two-dimensional datasets Boshkovikj, Veselin Webb, Hayden K Pham, Vy T H Fluke, Christopher J Crawford, Russell J Ivanova, Elena P AMB Express Original Article The design of biomaterial surfaces relies heavily on the ability to accurately measure and visualize the three-dimensional surface nanoarchitecture of substrata. Here, we present a technique for producing three-dimensional surface models using displacement maps that are based on the data obtained from two-dimensional analyses. This technique is particularly useful when applied to scanning electron micrographs that have been calibrated using atomic force microscopy (AFM) roughness data. The evaluation of four different surface types, including thin titanium films, silicon wafers, polystyrene cell culture dishes and dragonfly wings confirmed that this technique is particularly effective for the visualization of conductive surfaces such as metallic titanium. The technique is particularly useful for visualizing surfaces that cannot be easily analyzed using AFM. The speed and ease with which electron micrographs can be recorded, combined with a relatively simple process for generating displacement maps, make this technique useful for the assessment of the surface topography of biomaterials. Springer 2014-01-10 /pmc/articles/PMC3917702/ /pubmed/24410821 http://dx.doi.org/10.1186/2191-0855-4-3 Text en Copyright © 2014 Boshkovikj et al.; licensee Springer. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Boshkovikj, Veselin Webb, Hayden K Pham, Vy T H Fluke, Christopher J Crawford, Russell J Ivanova, Elena P Three-dimensional reconstruction of surface nanoarchitecture from two-dimensional datasets |
title | Three-dimensional reconstruction of surface nanoarchitecture from two-dimensional datasets |
title_full | Three-dimensional reconstruction of surface nanoarchitecture from two-dimensional datasets |
title_fullStr | Three-dimensional reconstruction of surface nanoarchitecture from two-dimensional datasets |
title_full_unstemmed | Three-dimensional reconstruction of surface nanoarchitecture from two-dimensional datasets |
title_short | Three-dimensional reconstruction of surface nanoarchitecture from two-dimensional datasets |
title_sort | three-dimensional reconstruction of surface nanoarchitecture from two-dimensional datasets |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3917702/ https://www.ncbi.nlm.nih.gov/pubmed/24410821 http://dx.doi.org/10.1186/2191-0855-4-3 |
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