Improvements in alzheimer's disease diagnosis using principle components analysis (PCA) in combination with raman spectroscopy

Archer, J.K.J. and Sudworth, C.D. and Black, R.A. and Williams, Rachel and How, Thien and Stone, Nicholas and Mann, David (2007) Improvements in alzheimer's disease diagnosis using principle components analysis (PCA) in combination with raman spectroscopy. Proceedings of SPIE the International Society for Optical Engineering, 6628. p. 662810. ISSN 0277-786X

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Abstract

The use of optical coherence tomography (OCT) as a monitoring tool in the growth of human fibroblasts cells in collagen-based constructs is investigated. Rat-tail tendon type-1 collagen based gels mixed with human fibroblasts were prepared and incubated. Fixed samples were then imaged using OCT, and subsequently cross-sectioned and analysed microscopically. The concentration of cells in samples under different contraction dynamics was investigated using analysis of the OCT images. Results show clear differences in scattering intensity as a consequence of cell concentration in both OCT images and micrographs.

Creators(s): Archer, J.K.J., Sudworth, C.D., Black, R.A., Williams, Rachel, How, Thien, Stone, Nicholas and Mann, David;
Item type:Article
ID code:8330
Keywords:alzheimer's disease, diagnosis, principle components analysis, raman spectroscopy, Bioengineering, Physiology, Condensed Matter Physics, Electronic, Optical and Magnetic Materials, Electrical and Electronic Engineering, Applied Mathematics, Computer Science Applications
Subjects:Technology > Engineering (General). Civil engineering (General) > Bioengineering
Science > Physiology
Department:Faculty of Engineering > Bioengineering
Depositing user: Strathprints Administrator
Date deposited:04 Aug 2009 14:09
Last modified:20 Jan 2021 17:58
URI:https://strathprints.strath.ac.uk/id/eprint/8330
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