Multivariate Scattering Correction for Data Denoising
During spectral data acquisition, environmental factors such as lighting and temperature can introduce noise into the spectral data. Multivariate Scattering Correction (MSC) effectively eliminates data noise caused by scattering effects during the collection process. Implementation typically involves preprocessing steps using algorithms that normalize spectral variations based on reference spectra, often achieved through linear regression techniques in computational workflows.