Mr. Boyko Kolev Profile

Boyko Kolev

at Institute of Electronics, BAS

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Proceedings Article | 2 April 2020 Presentation + Paper

Autofluorescence spectroscopy of cutaneous neoplasia under ultraviolet, visible and near infrared excitation

Ekaterina Borisova, Deyan Ivanov, Boyko Kolev, Tsanislava Genova, Victoria Mircheva, Stoyan Ilyov, Lidia Zaharieva, Ilze Lihachova, Alexej Lihachovs, Janis Spigulis, Petranka Troyanova

Proceedings Volume 11363, 113630Z (2020) https://doi.org/10.1117/12.2555982

KEYWORDS: Skin, Luminescence, Diagnostics, Spectroscopy, Near infrared, Tissues, Melanoma, Pathology, Skin cancer, Ultraviolet radiation

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We investigated melanin-pigmented skin samples ex vivo, of benign and dysplastic nevi, as well as malignant melanoma, obtained after surgical excision, containing so called safety areas, where a normal skin could be observed, to obtain a complex and complete view about the feasibility of different excitation sources solely and/or in combination to induce fluorescence signal useful for diagnosis of pigmented cutaneous neoplasia. Using the specialized multispectral analysis of the data obtained by fluorescence using excitation in broad spectral range, covering ultraviolet, visible and near-infrared spectral range, contribute considerably to the both the fundamental determination of tumour tissues’ basic spectral parameters, and to increasing the accuracy and specificity in determining the type of pathology when spectral techniques are used that are applicable to the clinical practice. Excitation wavelengths applied namely were 365, 385, 405, 630, 785 nm. As excitation sources were used set of laser and light emitting diodes with output power in the frames of 20-50mW. Microspectrometers USB4000 and QE65000 (Ocean Optics Inc, USA) in the range of 350-1100 nm were used as detectors of the fluorescence spectra obtained using UV-VIS-NIR excitation. These are preliminary investigations based on ex vivo samples, which would be followed by in vivo investigations and comparative studies to obtain the diagnostic accuracy, using optical spectral techniques, which would surpass the existing clinical techniques for early detection and evaluation of skin cancer. The achieved results demonstrate autofluorescence spectra efficiency in highlighting biochemical changes during tumor growth in a broad spectral range.

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