Journal of Applied Spectroscopy

, Volume 82, Issue 3, pp 450–455 | Cite as

Discrimination of Breast Cancer from Normal Tissue with Raman Spectroscopy and Chemometrics

  • Q.-B. Li
  • W. Wang
  • Ch.-H. Liu
  • G.-J. ZhangEmail author

Conventional Raman spectra of normal and cancerous breast tissues were acquired at an excitation wavelength of 785 nm and subjected to a discrimination analysis. First the spectra were pretreated with wavelet transform and polynomial fitting; next, cancerous tissue was identified by applying an adaptive local hyperplane K-nearest neighbor (ALHK) method to the pretreated spectra. The best discrimination accuracy of the ALHK method was 93.2%. In summary, normal and cancerous breast tissue were accurately distinguished by a miniature laser Raman spectrometer and the chemometrics method (ALHK), which might prove to be a portable and accessible diagnostic system.


breast cancer miniature Raman spectrometer adaptive local hyperplane K-nearest neighbor (ALHK) 


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© Springer Science+Business Media New York 2015

Authors and Affiliations

  1. 1.School of Instrumentation Science and Opto-Electronics Engineering, Precision Opto-Mechatronics Technology Key Laboratory of Education MinistryBeihang UniversityBeijingChina
  2. 2.Institute for Ultrafast Spectroscopy and Lasers, The Department of Physics of the City College of the City University of New YorkNew YorkUSA

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