Derivative

Differentiation of spectral data is a useful tool to enhanse the data information content.  First or second derivatives are typically used to improve the interpretation by revealing unresolved peaks or to correct spectra for a baseline (offset or slope, respectively) prior to quantitative or qualitative analysis.

The Derivative tool is available under the ElViS processing ribbon and in the dynamic processing template:

Mnova ElViS offers three algorithms for the calculation of spectral derivatives: Savitzky-Golay, Robust Noise and Centered differences.