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Proceedings Article

Raman spectroscopy of Alzheimer's diseased tissue

[+] Author Affiliations
Caroline D. Sudworth, Neville Krasner

Medical Laser Institute/Lasers for Life (United Kingdom)

Proc. SPIE 5321, Biomedical Vibrational Spectroscopy and Biohazard Detection Technologies, 93 (July 1, 2004); doi:10.1117/12.552869
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From Conference Volume 5321

  • Biomedical Vibrational Spectroscopy and Biohazard Detection Technologies
  • Anita Mahadevan-Jansen; Michael G. Sowa; Gerwin J. Puppels; Zygmunt Gryczynski; Tuan Vo-Dinh; Joseph R. Lakowicz
  • San Jose, CA | January 24, 2004

abstract

Alzheimer's disease is one of the most common forms of dementia, and causes steady memory loss and mental regression. It is also accompanied by severe atrophy of the brain. However, the pathological biomarkers of the disease can only be confirmed and examined upon the death of the patient. A commercial (Renishaw PLC, UK) Raman system with an 830 nm NIR diode laser was used to analyse brain samples, which were flash frozen at post-mortem. Ethical approval was sought for these samples. The Alzheimer's diseased samples contained a number of biomarkers, including neuritic plaques and tangles. The Raman spectra were examined by order to differentiate between normal and Alzheimer's diseased brain tissues. Preliminary results indicate that Alzheimer's diseased tissues can be differentiated from control tissues using Raman spectroscopy. The Raman spectra differ in terms of peak intensity, and the presence of a stronger amide I band in the 1667 cm-1 region which occurs more prominently in the Alzheimer's diseased tissue. These preliminary results indicate that the beta-amyloid protein originating from neuritic plaques can be identified with Raman spectroscopy.

© (2004) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.
Citation

Caroline D. Sudworth and Neville Krasner
"Raman spectroscopy of Alzheimer's diseased tissue", Proc. SPIE 5321, Biomedical Vibrational Spectroscopy and Biohazard Detection Technologies, 93 (July 1, 2004); doi:10.1117/12.552869; http://dx.doi.org/10.1117/12.552869


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