[19a-Z04-1~12] 3.4 Biomedical optics

△ [19a-Z04-8] Identification of spectral features for selective detection of peripheral nerves by a combination of Raman spectroscopy and SVM

〇(B)Koshirou Hori¹, Takeo Minamikawa^2,3,4, Yoshiki Terao⁵, Masami Shishibori³, Takeshi Yasui^2,3 (1.Fac. Sci. Tech., Tokushima Univ., 2.pLED, Tokushima Univ., 3.Grad. Sch. Tech. Ind. Soc. Sci. Tokushima Univ., 4.JST-PRESTO, 5.Grad. Sch. Adv. Tech. Sci, Tokushima Univ.)

Keywords:Raman spectroscopy, machine learning, SVM(support vector machine)

Identification of peripheral nerves using Raman spectroscopy is sometimes ambiguous due to the partial and complicated information of tissue molecules reflected in Raman spectra. In this study, we developed a method for identifying spectral features in Raman spectroscopic detection of peripheral nerves by utilizing a support vector machine (SVM). Raman spectral features for the identification of tissue species can be extracted by analyzing the identification criteria of SVM.