| Title |
Automatic software correction of residual aberrations in reconstructed HRTEM exit waves of crystalline samples
|
|---|---|
| Published in |
Advanced Structural and Chemical Imaging, November 2016
|
| DOI | 10.1186/s40679-016-0030-1 |
| Pubmed ID | |
| Authors |
Colin Ophus, Haider I Rasool, Martin Linck, Alex Zettl, Jim Ciston |
| Abstract |
We develop an automatic and objective method to measure and correct residual aberrations in atomic-resolution HRTEM complex exit waves for crystalline samples aligned along a low-index zone axis. Our method uses the approximate rotational point symmetry of a column of atoms or single atom to iteratively calculate a best-fit numerical phase plate for this symmetry condition, and does not require information about the sample thickness or precise structure. We apply our method to two experimental focal series reconstructions, imaging a β-Si3N4 wedge with O and N doping, and a single-layer graphene grain boundary. We use peak and lattice fitting to evaluate the precision of the corrected exit waves. We also apply our method to the exit wave of a Si wedge retrieved by off-axis electron holography. In all cases, the software correction of the residual aberration function improves the accuracy of the measured exit waves. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 26 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 46% |
| Researcher | 7 | 27% |
| Student > Master | 2 | 8% |
| Professor | 1 | 4% |
| Student > Doctoral Student | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 2 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Materials Science | 11 | 42% |
| Physics and Astronomy | 7 | 27% |
| Engineering | 4 | 15% |
| Chemical Engineering | 1 | 4% |
| Biochemistry, Genetics and Molecular Biology | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 2 | 8% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 16 April 2018.
All research outputs
#3,775,214
of 23,002,898 outputs
Outputs from Advanced Structural and Chemical Imaging
#5
of 31 outputs
Outputs of similar age
#73,506
of 416,836 outputs
Outputs of similar age from Advanced Structural and Chemical Imaging
#2
of 5 outputs
Altmetric has tracked 23,002,898 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 31 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one scored the same or higher as 26 of them.
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We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.