For each application, a custom-made signal processing procedure can be created. Signal processing consists of a number of steps such as import and cropping of different types of analytical data, feature detection and pixel-based analysis of multidimensional data. Issues to deal with that arise for multidimensional separation systems are e.g. retention time shifts in multiple dimensions, complex baselines and the very large number of variables compared to samples.