09:30 〜 11:30
▲ [14a-PB2-2] Raman Imaging of Human Hair Using Automatic Removal Method of Binary Background Components
キーワード：Raman spectroscopy, spectral analysis, binary , background, hair, imaging
We developed an automated method to remove binary background components from observed Raman spectra by tuning the scaling factors to seek the minimum lengths of subtracted spectra. 400 Raman imaging spectra of sliced cross section of a strand of gray human hair, fixed by glue on glass, were subjected to the proposed method by removing glass and glue information. After binary background removal, the principal component analysis, successfully detected small but important signal of tryptophan that is peculiar to the hair cortex.