With the Correlation Averaging module it is possible to enhance weak structures by finding various instances of a characteristic structure and calculating the average.
This is particularly valuable for revealing the details of the unit cell in patterns of self-assembled molecules.
Correlation Averaging for Microscopy Images
When measuring at the nanometer or atomic scale the noise is often considerable compared to the contrast of the surface features of interest. Traditional noise filtering, for example smoothing or median filtering, can improve the image, but also modifies the image data.
However, when the features of interest are repeated (random or periodic) in the image the advanced Correlation Averaging technique in SPIP™ can take advantage of this and average all instances of a feature. This greatly suppresses random noise without the need to manipulate the data.
SPIP™ can even highlight any characteristic difference in the various instances of the characteristic structure.
The technique can be performed with few mouse clicks, and it can be combined different types of evaluations, for example step-height and uniformity evaluations.