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ToF-SIMS PC-DFA analysis of prostate cancer cell lines

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Baker, Matthew ORCID: 0000-0003-2362-8581, Gazi, E., Brown, M.D., Clarke, N.W., Vickerman, J.C. and Lockyer, N.P. (2008) ToF-SIMS PC-DFA analysis of prostate cancer cell lines. Applied Surface Science, 255 (4). pp. 1084-1087. ISSN 01694332

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Official URL: http://dx.doi.org/10.1016/j.apsusc.2008.05.256

Abstract

Three closely related cancer cell lines have been analysed with ToF-SIMS using a C60+ primary ion beam. Principal component-discriminant function analysis (PC-DFA) has been applied for spectral classification. Various spectral pre-processing methods are discussed and assessed for optimum discrimination of this data set. The sum-normalised PC-DFA spectral model produced sensitivities as high as 83.3% and specificities as high as 100% at the 99% confidence limit. At this confidence limit only one errant spectrum was misclassified. The resulting loadings plots suggest that a range of lipid and amino-acid related signals are responsible for the cell line discrimination.

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