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Proceedings Paper

Faster tissue interface analysis from Raman microscopy images using compressed factorisation
Author(s): Andrew D. Palmer; Alistair Bannerman; Liam Grover; Iain B. Styles
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Paper Abstract

The structure of an artificial ligament was examined using Raman microscopy in combination with novel data analysis. Basis approximation and compressed principal component analysis are shown to provide efficient compression of confocal Raman microscopy images, alongside powerful methods for unsupervised analysis. This scheme allows the acceleration of data mining, such as principal component analysis, as they can be performed on the compressed data representation, providing a decrease in the factorisation time of a single image from five minutes to under a second. Using this workflow the interface region between a chemically engineered ligament construct and a bone-mimic anchor was examined. Natural ligament contains a striated interface between the bone and tissue that provides improved mechanical load tolerance, a similar interface was found in the ligament construct.

Paper Details

Date Published: 18 June 2013
PDF: 8 pages
Proc. SPIE 8798, Clinical and Biomedical Spectroscopy and Imaging III, 87980H (18 June 2013); doi: 10.1117/12.2032817
Show Author Affiliations
Andrew D. Palmer, Univ. of Birmingham (United Kingdom)
Alistair Bannerman, Univ. of Birmingham (United Kingdom)
Liam Grover, Univ. of Birmingham (United Kingdom)
Iain B. Styles, Univ. of Birmingham (United Kingdom)

Published in SPIE Proceedings Vol. 8798:
Clinical and Biomedical Spectroscopy and Imaging III
Volker Deckert; Nirmala Ramanujam, Editor(s)

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