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1 March 2011 Modulated Raman spectroscopy for enhanced identification of bladder tumor cells in urine samples
Elisabetta Canetta, Michael Mazilu, Anna C. De Luca, Antonia E. Carruthers, Kishan Dholakia, Sam Neilson, Harry Sargeant, Tina Briscoe, C. Simon Herrington, Andrew C. Riches
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Journal of Biomedical Optics, Vol. 16, Issue 3, 037002 (March 2011). https://doi.org/10.1117/1.3556722
Abstract
Standard Raman spectroscopy (SRS) is a noninvasive technique that is used in the biomedical field to discriminate between normal and cancer cells. However, the presence of a strong fluorescence background detracts from the use of SRS in real-time clinical applications. Recently, we have reported a novel modulated Raman spectroscopy (MRS) technique to extract the Raman spectra from the background. In this paper, we present the first application of MRS to the identification of human urothelial cells (SV-HUC-1) and bladder cancer cells (MGH) in urine samples. These results are compared to those obtained by SRS. Classification using the principal component analysis clearly shows that MRS allows discrimination between Raman spectra of SV-HUC-1 and MGH cells with high sensitivity (98%) and specificity (95%). MRS is also used to distinguish between SV-HUC-1 and MGH cells after exposure to urine for up to 6 h. We observe a marked change in the MRS of SV-HUC-1 and MGH cells with time in urine, indicating that the conditions of sample collection will be important for the application of this methodology to clinical urine samples.
©(2011) Society of Photo-Optical Instrumentation Engineers (SPIE)
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Elisabetta Canetta, Michael Mazilu, Anna C. De Luca, Antonia E. Carruthers, Kishan Dholakia, Sam Neilson, Harry Sargeant, Tina Briscoe, C. Simon Herrington, and Andrew C. Riches "Modulated Raman spectroscopy for enhanced identification of bladder tumor cells in urine samples," Journal of Biomedical Optics 16(3), 037002 (1 March 2011). https://doi.org/10.1117/1.3556722
Published: 1 March 2011
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Cited by 60 scholarly publications and 2 patents.
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KEYWORDS
Raman spectroscopy
Modulation
Bladder cancer
Principal component analysis
Tumors
Bladder
Luminescence
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