M. Prutton et al., MULTI-IMAGING AND MULTIVARIATE-STATISTICS USED FOR 3D CHARACTERIZATION AT SURFACES, Philosophical transactions-Royal Society of London. Physical sciences and engineering, 354(1719), 1996, pp. 2683-2695
Several microanalytical imaging techniques-energy dispersive X-ray det
ection, parallel electron energy loss spectroscopy, secondary ion mass
spectroscopy, photoelectron spectroscopy and XPS) and scanning Auger
microscopy-have reached the stage where they are capable of producing
images of a surface with a section of a spectrum in each pixel. The re
sulting image-spectrum is a complex data structure which requires the
use of special methodologies if the data are to be interpreted effecti
vely. Appropriate methods have been developed for Earth satellite imag
e processing and are directly applicable to surface microanalysis. The
use of scatter diagrams, interactive correlation partitioning, factor
and target factor analysis and principal component analysis are outli
ned in this paper and their application to semiconducting, catalytic a
nd magnetic structures is illustrated. This field of endeavour can be
thought of as being the beginning of an area of study which may be cal
led surface chemometrics.