Advanced data analysis techniques, such as multivariate analysis and machine learning, are increasingly used to tackle the complexity of spectral data. These methods can: - Enhance Signal-to-Noise Ratio: Improve the quality of spectral data by filtering out noise. - Deconvolution: Separate overlapping peaks to identify individual components. - Pattern Recognition: Identify patterns and correlations in large datasets, aiding in the discovery of new insights.
