Fig. 1: Schematics of this work: The proposed self-supervised learning-based Raman spectral preprocessing (RSPSSL) scheme and the experimental design for its comprehensive performance evaluation. | Light: Science & Applications

Fig. 1: Schematics of this work: The proposed self-supervised learning-based Raman spectral preprocessing (RSPSSL) scheme and the experimental design for its comprehensive performance evaluation.

From: RSPSSL: A novel high-fidelity Raman spectral preprocessing scheme to enhance biomedical applications and chemical resolution visualization

Fig. 1

a The general pipeline of the RSPSSL scheme includes spectral training datasets, an RSGAN model, and an RSBPCNN model. b Experimental design for the spectral preprocessing performance evaluation through multiple biomedical applications, including cancer diagnosis, paraquat concentration quantification, and Raman hyperspectral image preprocessing

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