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Nature Research, Scientific Reports, 1(4), 2014

DOI: 10.1038/srep04711

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Correlative Tomography

Journal article published in 2014 by T. L. Burnett, S. A. McDonald, A. Gholinia, R. Geurts, M. Janus, T. Slater ORCID, S. J. Haigh ORCID, C. Ornek ORCID, F. Almuaili, D. L. Engelberg, G. E. Thompson, S. A. McDonald A Gholinia R Geurts M Janus T Slater S J. Haigh C Ornek F Almuaili D L. Engelberg G E. Thompson & P J. Withers T. L. Burnett, P. J. Withers ORCID, S. A. McDonald A Gholinia R Geurts M Janus T Slater S J. Haigh C Ornek F Almuaili D L. Engelberg G E. Thompson P J. Withers T. L. Burnett
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

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Abstract

Increasingly researchers are looking to bring together perspectives across multiple scales, or to combine insights from different techniques, for the same region of interest. To this end, correlative microscopy has already yielded substantial new insights in two dimensions (2D). Here we develop correlative tomography where the correlative task is somewhat more challenging because the volume of interest is typically hidden beneath the sample surface. We have threaded together x-ray computed tomography, serial section FIB-SEM tomography, electron backscatter diffraction and finally TEM elemental analysis all for the same 3D region. This has allowed observation of the competition between pitting corrosion and intergranular corrosion at multiple scales revealing the structural hierarchy, crystallography and chemistry of veiled corrosion pits in stainless steel. With automated correlative workflows and co-visualization of the multi-scale or multi-modal datasets the technique promises to provide insights across biological, geological and materials science that are impossible using either individual or multiple uncorrelated techniques.