Fig. 10From: Optimal principal component analysis of STEM XEDS spectrum imagesSchematic dependence of the noise variance on the total count in a weighted spectrum-image. In the “saturated” limit, the noise variance is approaching 1 and is equalized over a whole dataset. In the “diluted” limit, the noise variance is constrained by the linear dependence on the total counts and can not be equalizedBack to article page