The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.
Large volume serial section tomography by Xe Plasma FIB dual beam microscopy
Open accessAbstract
Ga(+) Focused Ion Beam-Scanning Electron Microscopes (FIB-SEM) have revolutionised the level of microstructural information that can be recovered in 3D by block face serial section tomography (SST), as well as enabling the site-specific removal of smaller regions for subsequent transmission electron microscope (TEM) examination. However, Ga(+) FIB material removal rates limit the volumes and depths that can be probed to dimensions in the tens of microns range. Emerging Xe(+) Plasma Focused Ion Beam-Scanning Electron Microscope (PFIB-SEM) systems promise faster removal rates. Here we examine the potential of the method for large volume serial section tomography as applied to bainitic steel and WC-Co hard metals. Our studies demonstrate that with careful control of milling parameters precise automated serial sectioning can be achieved with low levels of milling artefacts at removal rates some 60× faster. Volumes that are hundreds of microns in dimension have been collected using fully automated SST routines in feasible timescales (<24h) showing good grain orientation contrast and capturing microstructural features at the tens of nanometres to the tens of microns scale. Accompanying electron back scattered diffraction (EBSD) maps show high indexing rates suggesting low levels of surface damage. Further, under high current Ga(+) FIB milling WC-Co is prone to amorphisation of WC surface layers and phase transformation of the Co phase, neither of which have been observed at PFIB currents as high as 60nA at 30kV. Xe(+) PFIB dual beam microscopes promise to radically extend our capability for 3D tomography, 3D EDX, 3D EBSD as well as correlative tomography.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
In situ site-specific specimen preparation for atom probe tomography
Thompson, K., Lawrence, D., Larson, D. J., Olson, J. D., Kelly, T. F., & Gorman, B. (2007) · Ultramicroscopy · doi:10.1016/j.ultramic.2006.06.008 · Cited by 1,719
Ziegler, J. F. (2004) · Nuclear Instruments and Methods in Physics Research Section B Beam Interactions with Materials and Atoms · doi:10.1016/j.nimb.2004.01.208 · Cited by 1,541
Maire, E., & Withers, P. J. (2014) · International Materials Reviews · doi:10.1179/1743280413y.0000000023 · Cited by 1,374
Self-citationIntroduction to Texture Analysis: Macrotexture, Microtexture and Orientation Mapping
Randle, V., & Engler, O. (2000) · CRC Press eBooks · doi:10.1201/9781482287479 · Cited by 958
Electron tomography and holography in materials science
Midgley, P. A., & Dunin-Borkowski, R. E. (2009) · Nature Materials · doi:10.1038/nmat2406 · Cited by 883
Kelly, T. F., & Miller, M. K. (2007) · Review of Scientific Instruments · doi:10.1063/1.2709758 · Cited by 867
Recent advances in focused ion beam technology and applications
Bassim, N., Scott, K., & Giannuzzi, L. A. (2014) · MRS Bulletin · doi:10.1557/mrs.2014.52 · Cited by 169
The power of correlative microscopy: multi-modal, multi-scale, multi-dimensional
Caplan, J., Niethammer, M., Taylor, R. M., & Czymmek, K. J. (2011) · Current Opinion in Structural Biology · doi:10.1016/j.sbi.2011.06.010 · Cited by 159
A new TriBeam system for three-dimensional multimodal materials analysis
Echlin, M. P., Mottura, A., Torbet, C. J., & Pollock, T. M. (2012) · Review of Scientific Instruments · doi:10.1063/1.3680111 · Cited by 153
Burnett, T. L., McDonald, S. A., Gholinia, A., et al. (2014) · Scientific Reports · doi:10.1038/srep04711 · Cited by 146
Self-citation
Cited by
Kosasih, F. U., & Ducati, C. (2018) · Nano Energy · doi:10.1016/j.nanoen.2018.02.055 · Cited by 86
Metadata
- Authors
- Burnett, T. L., Kelley, R., Winiarski, B., Contreras, L., Daly, M., Gholinia, A., Burke, M. G., & Withers, P. J.
- Venue
- Ultramicroscopy
- Publisher
- Elsevier BV
- Published
- 2016-02
- Volume
- 161
- Pages
- 119-129
- ISSN
- 0304-3991 (ISSN-L)
- OpenAlex
- W2134737650
- Cited by
- 339
- References
- 15
- FWCI
- 9.44
- Type
- journal article
- Language
- en
- Open access
- hybrid
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Large volume serial section tomography by Xe Plasma FIB dual beam microscopy. https://app.cochat.ai/papers/10.1016/j.ultramic.2015.11.001
- The paper
- Burnett, T. L., Kelley, R., Winiarski, B., Contreras, L., Daly, M., Gholinia, A., Burke, M. G., & Withers, P. J. (2016). Large volume serial section tomography by Xe Plasma FIB dual beam microscopy. Ultramicroscopy. https://doi.org/10.1016/j.ultramic.2015.11.001
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.