Please login first
Fiber optic sensor for detecting neoplastic lesions in biological tissues - a preliminary study
1  Department of Metrology and Optoelectronics, Faculty of Electronics, Telecommunications and Informatics, Gdańsk University of Technology, 11/12 Narutowicza Street, 80-233 Gdańsk, Poland

Abstract:

Tissues affected by neoplastic lesions differ from healthy tissues in terms of functionality and anatomy. These changes affect light propagation in tissue, therefore modifying the refractive index, as well as scattering and absorption coefficients. The primary purpose of the research was to create a system to detect local changes in the refractive index using a fiber optic sensor. A prototype of a micromachine for biomedical applications has been developed. The measurements were performed using the low-coherence interferometry method, i.e. a measurement technique based on the phenomenon of interference of light waves from a broadband light source. The constructed optical system uses a light source with a central wavelength of 1550 nm, a spectrum analyser, a fiber optic sensor operating on the basis of a Fabry-Perot interferometer and a silver mirror acting as a reflective layer. Measurements of the interference spectrum of reference oils, used for calibration due to the high stability of their parameters, were performed. It has been shown that the developed fiber optic sensor is able to detect changes in the refractive index based on the shift in the position of the central peak in the interference spectrum. It is also sensitive to changes of the absorption coefficient.

References:
1. Szczerska, M. Response of a New Low-Coherence Fabry-Perot Sensor to Hematocrit Levels in Human Blood. Sensors, 14(4), 6965-6976, (2014).
2. Giannios, P., Toutouzas, K., Matiatou, M. et al. Visible to near-infrared refractive properties of freshly-excised human-liver tissues: marking hepatic malignancies. Sci Rep 6, 27910 (2016), doi: 10.1038/srep27910.

Keywords: fiber optic sensors; Fabry-Perot interferometer; refractive index; neoplastic lesions
Top