Paper
1 March 2008 Chemometric techniques on the analysis of Raman spectra of serum blood samples of breast cancer patients
L. N. Rocha-Osornio, J. L. Pichardo-Molina, O. Barbosa-Garcia, C. Frausto-Reyes, C. Araujo-Andrade, R. Huerta-Franco, G. Gutiérrez-Juárez
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Abstract
Raman spectroscopy and Multivariate methods were used to study serum blood samples of control and breast cancer patients. Blood samples were obtained from 11 patients and 12 controls from the central region of Mexico. Our results show that principal component analysis is able to discriminate serum sample of breast cancer patients from those of control group, also the loading vectors of PCA plotted as a function of Raman shift shown which bands permitted to make the maximum discrimination between both groups of samples.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
L. N. Rocha-Osornio, J. L. Pichardo-Molina, O. Barbosa-Garcia, C. Frausto-Reyes, C. Araujo-Andrade, R. Huerta-Franco, and G. Gutiérrez-Juárez "Chemometric techniques on the analysis of Raman spectra of serum blood samples of breast cancer patients", Proc. SPIE 6864, Biomedical Applications of Light Scattering II, 686416 (1 March 2008); https://doi.org/10.1117/12.765184
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Cited by 2 scholarly publications.
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KEYWORDS
Raman spectroscopy

Breast cancer

Principal component analysis

Blood

Tissue optics

Cancer

Statistical analysis

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