Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Correlative tomography

Burnett, T. L., McDonald, S. A., Gholinia, A., Geurts, R., Janus, M., Slater, T. ORCID:, Haigh, S. J., Ornek, C., Almuaili, F., Engelberg, D. L., Thompson, G. E. and Withers, P. J. 2014. Correlative tomography. Scientific Reports 4 , 4711. 10.1038/srep04711

[thumbnail of srep04711.pdf] PDF - Published Version
Available under License Creative Commons Attribution Non-commercial Share Alike.

Download (1MB)


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.

Item Type: Article
Date Type: Published Online
Status: Published
Schools: Chemistry
Cardiff Catalysis Institute (CCI)
Additional Information: This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License
Publisher: Nature Research
ISSN: 2045-2322
Date of First Compliant Deposit: 22 March 2022
Date of Acceptance: 31 March 2014
Last Modified: 23 May 2023 17:26

Citation Data

Cited 108 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item


Downloads per month over past year

View more statistics