Spectra are often recorded under different measurement conditions, such as the initial tip-sample distance. Nevertheless a comparison between them is possible by normalizing them.

SpectraFox offers a tool to rescale data, so that a selected region is set to one. For this it applies a smoothing method to the data in advance, and then takes the average value of the selected range. It then divides the whole data by this averaged value.

To normalize a dataset proceed with the following:

1. Select the value range to be set to one (A) with your mouse.
2. Select the smoothing method which is applied in advance to the averaging procedure.
3. Start the normalization, and check the output (C).