Optical Characterization of Buruli Ulcer by Diffuse Reflectance using LEDs illumination

• Published in: 2021 IEEE Industry Applications Society Annual Meeting (IAS) pp. 1 - 7
• Main Authors: Yable, Didier K., Canale, Laurent, Haba, Theodore Cisse, Dupuis, Pascal, Zoueu, Jeremie T., Zissis, Georges
• Format: Conference Proceeding
• Language: English
• Published: IEEE 10.10.2021
• Subjects: Biomedical optical imaging; Diagnostics; Diffuse reflection; Light emitting diodes; Mycobacterium ulcerans; Optical fiber sensors; Optical fibers; Optical imaging; Optical properties; Reflectivity; Skin; Spectroscopy
• ISSN: 2576-702X
• DOI: 10.1109/IAS48185.2021.9677047

This research proposes a new non-invasive approach for the detection of Mycobacterium ulcerans based on reflectance spectroscopy. Diffuse reflectance spectroscopy (DRS) is a technique that illuminates the tissue surface and analyzes the spectrum of backscattered light, in which the signature of various biochemical species can be identified. This promising technique is established in this paper for the non-invasive and in vivo characterization of the optical properties of tissues for diagnostic applications. We have introduced a new compact and low-cost architecture for RSD, based on the use of a multispectral image sensor and LEDs to obtain a diffuse reflectance signal in contact with the skin. For the proof of concept, a prototype device, comprising a spectrometer coupled to an optical fiber, a microcontroller, a set of 8 LEDs and a computer, was developed, manufactured and implemented. Diffuse reflectance profiles were acquired at 438 nm, 544 nm and 613 nm. The spectrum of Mycobacterium ulcerans was established by this method at 256 nm and 365 nm. The results obtained confirm the potential of our approach for the quantitative characterization of the optical properties of tissues. These results indicate that this approach is capable of providing quantitative information on tissues and studying the progression of Buruli ulcer disease before changes are visibly apparent. This suggests the possibility of using it as a complementary technique to clinical evaluation.