@inbook{a32f65f44ef44a9fb53625730752a20c,
title = "Vibrational spectroscopy: Disease diagnostics and beyond",
abstract = "This chapter outlines some developments in the applications of vibrational spectroscopy for disease diagnostics and demonstrates how the applications of the spectroscopic techniques can be extended to the analysis and evaluation of disease aetiology and the mechanisms of interaction with and the cellular and subcellular responses to, for example, chemotherapeutic agents and nanoparticles. The primary emphasis is on Raman spectroscopy, although some examples are based on infrared absorption spectroscopy. The studies presented are chosen to illustrate how a range of multivariate analytical techniques can be employed to maximize the potential benefits of the complex spectral information obtained from tissue or cells.",
keywords = "Cervical Cancer, Cervical Intraepithelial Neoplasia, Human Papilloma Virus, Partial Little Square Regression, Vibrational Spectroscopy",
author = "Byrne, \{Hugh J.\} and Ostrowska, \{Kamila M.\} and Haq Nawaz and Jennifer Dorney and Meade, \{Aidan D.\} and Franck Bonnier and Lyng, \{Fiona M.\}",
note = "Publisher Copyright: {\textcopyright} Springer Science+Business Media Dordrecht 2014.",
year = "2014",
month = jan,
day = "1",
doi = "10.1007/978-94-007-7832-0\_13",
language = "English",
series = "Challenges and Advances in Computational Chemistry and Physics",
publisher = "Springer Netherlands",
pages = "355--399",
booktitle = "Optical Spectroscopy and Computational Methods in Biology and Medicine",
address = "Netherlands",
}
