Faster tissue interface analysis from Raman microscopy images using compressed factorisation

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)
53 Downloads (Pure)


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. © (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Original languageEnglish
Title of host publicationProc. SPIE 8798, Clinical and Biomedical Spectroscopy and Imaging III
PublisherSociety of Photo-Optical Instrumentation Engineers
ISBN (Electronic) 9780819496478
Publication statusPublished - 25 Jun 2013

Publication series

NameProceedings of OSA Biomedical Optics-SPIE
ISSN (Electronic)1605-7422


Dive into the research topics of 'Faster tissue interface analysis from Raman microscopy images using compressed factorisation'. Together they form a unique fingerprint.

Cite this