Digital deparaffinization of Raman spectral image acquired on FFPE human skin tissue

Abstract

Raman spectral imaging is applied to human skin tissue fixed with formalin and embedded in paraffin. However, some restrictions may appear due to the high intensity of the paraffin signal. Extended Multiplicative Signal Correction (EMSC) is applied to correct the paraffin contribution of the Raman spectral image. For this purpose, the paraffin signal must be modeled as precisely as possible. In this paper, we propose to apply the matrix decomposition method such as Principal Component Analysis (PCA) to model the components of pure paraffin in the digital dewaxing technique. Then, the corrected spectra obtained using EMSC and PCA are classified using K-means, and compared with spectra obtained using classical EMSC result.