Thomas P J, Midgley P A
Department of Materials Science and Metallurgy, University of Cambridge, UK.
Ultramicroscopy. 2001 Aug;88(3):179-86. doi: 10.1016/s0304-3991(01)00077-8.
The acquisition of a series of energy-filtered TEM images over the energy-loss range of interest creates a three-dimensional data set comprising both spatial and spectral information. Such an image-series contains energy-loss information not available with conventional two- or three-window methods, allowing standard techniques for quantitative EELS analysis to be applied to extracted 'image-spectra'. The increase in spectral information enables improved ionisation edge background extrapolation and interactive image-spectrum analysis to be performed. In this paper, the many advantages of the image-spectroscopy approach are outlined by reference to an example of elemental segregation in an AlZnMgCu alloy.
