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Abstract. The object of study were human teeth with caries cavities and healthy teeth extracted for orthopaedic indications. The main method of study was Raman spectroscopy. We revealed the specific features of Raman spectra for the healthy tooth tissues impaired ones and the tissues affected by caries. The optical criteria are established that allow cares detection and assessment, as well as the detection of precaries impairment of the tooth tissues. The results were analysed in comparison with the data of the chemical analysis performed using a raster electron microscope.

Abstract. The paper presents analysis of hyperspectral images for human skin cancer pathologies diagnostics. Hyperspectral images data contained backscattered spectra of normal skin and tumors. Analysis of hyperspectral images provided information about hemoglobin and melanin content for the differentiation of malignant and benign skin neoplasms based on tissues optical density calculation. It was shown that the accuracy of cancerous tissues classification reaches 88% for proposed algorithm of hyperspectral images analysis. The proposed approach may be a rapid and reliable tool for skin oncological diseases screening. © 2018 Journal of Biomedical Photonics & Engineering.Keywords: hyperspectral imaging; backscattering spectroscopy; oncodermatology; oncological diagnostics; melanoma; nevi; carcinoma; melanin; hemoglobin content.

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