Paper
7 March 2016 Evaluation of a multi-fibre needle Raman probe for tissue analysis
Leanne M. Fullwood, Ingeborg E. Iping Petterson, Alexander P. Dudgeon, Gavin R. Lloyd, Catherine Kendall, Charlie Hall, John C. C. Day, Nick Stone
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Abstract
Raman spectroscopy is a rapid technique for the identification of cancers. Its coupling with a hypodermic needle provides a minimally invasive instrument with the potential to aid real time assessment of suspicious lesions in vivo and guide surgery. A fibre optic Raman needle probe was utilised in this study to evaluate the classification ability of the instrument as a diagnostic tool together with multivariate analysis, through measurements of tissues from different animal species as well as various different porcine tissue types. Cross validation was performed and preliminary classification accuracies were calculated as 100% for the identification of tissue type and 97.5% for the identification of animal species. A lymph node sample was also measured using the needle probe to assess the use of the technique for human tissue and hence its efficiency as a clinical instrument. This needle probe has been demonstrated to have the capabilities to classify tissue samples based on their biochemical components. The Raman needle probe also has the potential to act as a diagnostic and surgical tool to delineate cancerous from non-cancerous cells in real time, thus assisting complete removal of a tumour.
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Leanne M. Fullwood, Ingeborg E. Iping Petterson, Alexander P. Dudgeon, Gavin R. Lloyd, Catherine Kendall, Charlie Hall, John C. C. Day, and Nick Stone "Evaluation of a multi-fibre needle Raman probe for tissue analysis", Proc. SPIE 9704, Biomedical Vibrational Spectroscopy 2016: Advances in Research and Industry, 97040G (7 March 2016); https://doi.org/10.1117/12.2230005
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Cited by 2 scholarly publications.
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KEYWORDS
Tissues

Raman spectroscopy

Lymphatic system

Diagnostics

Cancer

Biopsy

In vivo imaging

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