| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 5363584 | Applied Surface Science | 2008 | 4 Pages |
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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Authors
M.J. Baker, E. Gazi, M.D. Brown, N.W. Clarke, J.C. Vickerman, N.P. Lockyer,