Journal
ULTRAMICROSCOPY
Volume 189, Issue -, Pages 65-75Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.ultramic.2018.02.006
Keywords
Atom probe tomography; Atom probe crystallography; Tomographic reconstruction; Reconstruction calibration; Interface analysis; Atom probe microscopy
Categories
Funding
- Australian Research Council
- Faculty of Engineering & Information Technologies, The University of Sydney, under the Faculty Research Cluster Program (Materials and Structures Research Cluster)
Ask authors/readers for more resources
Atom probe tomography is a powerful microscopy technique capable of reconstructing the 3D position and chemical identity of millions of atoms within engineering materials, at the atomic level. Crystallographic information contained within the data is particularly valuable for the purposes of reconstruction calibration and grain boundary analysis. Typically, analysing this data is a manual, time-consuming and error prone process. In many cases, the crystallographic signal is so weak that it is difficult to detect at all. In this study, a new automated signal processing methodology is demonstrated. We use the affine properties of the detector coordinate space, or the 'detector stack', as the basis for our calculations. The methodological framework and the visualisation tools are shown to be superior to the standard method of crystallographic pole visualisation directly from field evaporation images and there is no requirement for iterations between a full real-space initial tomographic reconstruction and the detector stack. The mapping approaches are demonstrated for aluminium, tungsten, magnesium and molybdenum. Implications for reconstruction calibration, accuracy of crystallographic measurements, reliability and repeatability are discussed. (C) 2018 Elsevier B.V. All rights reserved.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available