Multiscale three-dimensional surface reconstruction and surface roughness of porcine left anterior descending coronary arteries

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Author
Burton, Hanna
Cullinan, Rachael
Jiang, Kyle
Espino, Daniel M.
Date
2019-09-11Acceptance date
2019-08-07
Type
Article
Publisher
Royal Society
ISSN
2054-5703
Metadata
Show full item recordAbstract
The aim of this study was to investigate the multiscale surface roughness characteristics of coronary arteries, to aid in the development of novel biomaterials and bioinspired medical devices. Porcine left anterior descending coronary arteries were dissected ex vivo, and specimens were chemically fixed and dehydrated for testing. Surface roughness was calculated from three-dimensional reconstructed surface images obtained by optical, scanning electron and atomic force microscopy, ranging in magnification from 10× to 5500×. Circumferential surface roughness decreased with magnification, and microscopy type was found to influence surface roughness values. Longitudinal surface roughness was not affected by magnification or microscopy types within the parameters of this study. This study found that coronary arteries exhibit multiscale characteristics. It also highlights the importance of ensuring consistent microscopy parameters to provide comparable surface roughness values.
Journal/conference proceeding
Royal Society Open Science;
Citation
Burton, H.E., Cullinan, R., Jiang, K. and Espino, D.M. (2019) 'Multiscale three-dimensional surface reconstruction and surface roughness of porcine left anterior descending coronary arteries'. Royal Society Open Science, 6(9), p.190915. DOI: 10.1098/rsos.190915.
Description
Article published in Royal Society Open Science on 11 September 2019, available open access at: https://doi.org/10.1098/rsos.190915.
Sponsorship
Cardiff Metropolitan University (Grant ID: Cardiff Metropolian (Internal))
H.E.B. was funded by an Engineering and Physical Sciences Research Council scholarship [M114612B]. R.C. was funded by the Defence Science and Technology Laboratory. This study was partly funded by an Innovation and Research Award from the Institute of Physics and Engineering in Medicine. Equipment used in this study was funded by the Science City Research Alliance (SCRA) AM2 Collaboration.
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