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[Raman imaging based on morphological model for human breast cancer tissues].
Yu, Ge; Lü, Ai-jun; Wang, Bin; Zhang, Cun-zhou.
Affiliation
  • Yu G; Department of Mathematics and Physics, Beijing Institute of Petrochemical Technology, Beijing, China. yuge@bipt.edu.cn
Guang Pu Xue Yu Guang Pu Fen Xi ; 30(8): 2167-70, 2010 Aug.
Article in Zh | MEDLINE | ID: mdl-20939331
ABSTRACT
Raman Mapping spectra were collected on the samples of the normal human breast duct epithelia and the infiltrating duct carcinoma with the excitation wavelength of 633 nm and fitted with the morphological model which was presented before by the author. The normalized coefficients were calculated and used to make Raman images. Examining these images, the authors find that they show quite clearly the distribution of the chemicals which the basis spectrum was mainly derived from and that the DNA coefficient image also indicates the positions and scales of the cell nucleus, while the bright DNA area is bigger and brighter for the infiltrating duct carcinoma than for the normal breast dust epithelia, suggesting the cell nucleus in cancer tissue are larger than those in normal tissue. The correlation coefficient images were also made on these mapping spectra and examined in comparison with these model images, and it was showed that the model images have higher resolution and sensitivity although they are very similar. This work is helpful to understanding the morphological basis of the breast tissue Raman spectra and to developing the Raman diagnostic method for breast tumor.
Subject(s)
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Collection: 01-internacional Database: MEDLINE Main subject: Spectrum Analysis, Raman / Breast / Breast Neoplasms / Diagnostic Imaging Type of study: Diagnostic_studies / Prognostic_studies Limits: Female / Humans Language: Zh Journal: Guang Pu Xue Yu Guang Pu Fen Xi Year: 2010 Document type: Article Affiliation country: China
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Collection: 01-internacional Database: MEDLINE Main subject: Spectrum Analysis, Raman / Breast / Breast Neoplasms / Diagnostic Imaging Type of study: Diagnostic_studies / Prognostic_studies Limits: Female / Humans Language: Zh Journal: Guang Pu Xue Yu Guang Pu Fen Xi Year: 2010 Document type: Article Affiliation country: China