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

M. J. Baker, E. Gazi, M. D. Brown, N. W. Clarke, J. C. Vickerman, N. P. Lockyer

Research output: Contribution to journalArticlepeer-review

14 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)1084-1087
Number of pages4
JournalApplied Surface Science
Issue number4
Early online date18 May 2008
Publication statusPublished - 15 Dec 2008


  • cancer
  • cell lines
  • discrimination
  • multivariate analysis


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