Faster tissue interface analysis from Raman microscopy images using compressed factorisation

Andrew D. Palmer; Alistair Bannerman; Liam Grover; Iain B. Styles

doi:10.1117/12.2032817

18 June 2013 Faster tissue interface analysis from Raman microscopy images using compressed factorisation

Andrew D. Palmer, Alistair Bannerman, Liam Grover, Iain B. Styles

Proceedings Volume 8798, Clinical and Biomedical Spectroscopy and Imaging III; 87980H (2013) https://doi.org/10.1117/12.2032817
Event: European Conferences on Biomedical Optics, 2013, Munich, Germany

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.

Citation Download Citation

Andrew D. Palmer, Alistair Bannerman, Liam Grover, and Iain B. Styles "Faster tissue interface analysis from Raman microscopy images using compressed factorisation", Proc. SPIE 8798, Clinical and Biomedical Spectroscopy and Imaging III, 87980H (18 June 2013); https://doi.org/10.1117/12.2032817

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