Development of Raman microspectroscopy for automated detection and imaging of basal cell carcinoma.

@article{LarraonaPuy2009DevelopmentOR,
  title={Development of Raman microspectroscopy for automated detection and imaging of basal cell carcinoma.},
  author={Marta Larraona-Puy and Adrian Ghita and Alina Bogumila Zoladek and William Perkins and S Varma and Iain H Leach and Alexey Koloydenko and Hywel C Williams and Ioan Notingher},
  journal={Journal of biomedical optics},
  year={2009},
  volume={14 5},
  pages={054031}
}
We investigate the potential of Raman microspectroscopy (RMS) for automated evaluation of excised skin tissue during Mohs micrographic surgery (MMS). The main aim is to develop an automated method for imaging and diagnosis of basal cell carcinoma (BCC) regions. Selected Raman bands responsible for the largest spectral differences between BCC and normal skin regions and linear discriminant analysis (LDA) are used to build a multivariate supervised classification model. The model is based on 329… CONTINUE READING

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