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Proceedings Paper

Classification of bladder cancer cell lines using Raman spectroscopy: a comparison of excitation wavelength, sample substrate and statistical algorithms
Author(s): Laura T. Kerr; Aine Adams; Shirley O'Dea; Katarina Domijan; Ivor Cullen; Bryan M. Hennelly
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Paper Abstract

Raman microspectroscopy can be applied to the urinary bladder for highly accurate classification and diagnosis of bladder cancer. This technique can be applied in vitro to bladder epithelial cells obtained from urine cytology or in vivo as an optical biopsy" to provide results in real-time with higher sensitivity and specificity than current clinical methods. However, there exists a high degree of variability across experimental parameters which need to be standardised before this technique can be utilized in an everyday clinical environment. In this study, we investigate different laser wavelengths (473 nm and 532 nm), sample substrates (glass, fused silica and calcium fluoride) and multivariate statistical methods in order to gain insight into how these various experimental parameters impact on the sensitivity and specificity of Raman cytology.

Paper Details

Date Published: 8 May 2014
PDF: 8 pages
Proc. SPIE 9129, Biophotonics: Photonic Solutions for Better Health Care IV, 91290E (8 May 2014); doi: 10.1117/12.2051780
Show Author Affiliations
Laura T. Kerr, National Univ. of Ireland, Maynooth (Ireland)
Aine Adams, National Univ. of Ireland, Maynooth (Ireland)
Shirley O'Dea, National Univ. of Ireland, Maynooth (Ireland)
Katarina Domijan, National Univ. of Ireland, Maynooth (Ireland)
Ivor Cullen, Univ. College London Hospitals NHS Foundation Trust (United Kingdom)
Bryan M. Hennelly, National Univ. of Ireland, Maynooth (Ireland)


Published in SPIE Proceedings Vol. 9129:
Biophotonics: Photonic Solutions for Better Health Care IV
Jürgen Popp; Valery V. Tuchin; Dennis L. Matthews; Francesco Saverio Pavone; Paul Garside, Editor(s)

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