Wavelength dependence of the refractive index of human colorectal tissues: comparison between healthy mucosa and cancer

• Main Authors: Sónia Carvalho, Nuno Gueiral, Elisabete Nogueira, Rui Henrique, Luís Oliveira, Valery V. Tuchin
• Format: Article
• Language: English
• Published: Samara National Research University 2016-12-01
• Series: Journal of Biomedical Photonics & Engineering
• Subjects: Colorectal tissue; Cancer; Refractive index; Total internal reflection; Tissue dispersion
• Online Access: http://jbpe.ssau.ru/index.php/JBPE/article/view/3130

Biological tissues have individual optical properties that may be used as an identity card. The refractive index in particular, which can be measured directly, is very significant for the improvement or development of optical technologies in clinical practice. With the objective of verifying if healthy and pathological tissues can be discriminated from refractive index measurements, we have studied human colorectal mucosa. By using the total internal reflection method to measure the refractive index from healthy and pathological colorectal mucosa tissues at different wavelengths, it was possible to calculate the dispersion curves for both types of tissues. It was observed a decaying refractive index with wavelength, both for healthy and pathological tissues, which were fitted with curves described by Cornu’s equation for wavelengths between ultraviolet and near-infrared range. Experimental results show higher refractive index values for the pathological mucosa for all wavelengths. By performing measurements at wavelengths near 850 nm, we have detected non-monotonic behavior for the refractive index of both healthy and pathological tissues. Such abnormal wavelength dependence is evidence of lipids in both tissues. The acquired experimental data demonstrated that it is possible to discriminate between healthy and pathological tissues from refractive index measurements. Similar studies can be made for different biological tissues. By using lasers with different wavelengths it might be possible to identify other tissue components.