LAUSR

Correlative imaging provides a novel means of studying diverse sample types in both 2D and 3D at varying length scales (i.e., macro to nano) and via various modes (including, but not limited to, optical light microscopy, X-ray microscopy (tomography), scanning electron microscopy, and focused ion beam scanning electron microscopy). The correlation of datasets generated from these (and other) techniques enables multiple data types to be investigated at the same time (e.g., 2D surface properties, 3D structural properties, crystallographic information via EBSD, surface and sub-surface chemistry), thereby developing an interpretation which considers all sample properties, not just one alone. It is possible to target specific representative sample regions rather than at random, which may not be representative of the conditions. This improved method of correlating data has been applied to varied sample types from materials (e.g., creep in stainless steels [1]), to geological (e.g., reservoir shales [2]), to biological (e.g., bio-inspiration from barnacles [3]), and others, therefore illustrating the versatility of the method.