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ArticleScientific reports2019

Towards a quantitative determination of strain in Bragg Coherent X-ray Diffraction Imaging: artefacts and sign convention in reconstructions.

Jérôme Carnis, Lu Gao, Stéphane Labat, Young Yong Kim, Jan P Hofmann, Steven J Leake, Tobias U Schülli, Emiel J M Hensen, Olivier Thomas, Marie-Ingrid Richard

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

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  8. Journal of applied crystallography · 2022
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Jérôme CarnisAix Marseille Université, CNRS, Université de Toulon, IM2NP UMR 7334, 13397, Marseille, France. jerome.carnis@desy.de.
Lu GaoLaboratory for Inorganic Materials and Catalysis, Department of Chemical Engineering and Chemistry, P. O. Box 513, 5600, MB, Eindhoven, The Netherlands.
Stéphane LabatAix Marseille Université, CNRS, Université de Toulon, IM2NP UMR 7334, 13397, Marseille, France.
Young Yong KimDeutsches Elektronen-Synchrotron (DESY), D-22607, Hamburg, Germany.
Jan P HofmannLaboratory for Inorganic Materials and Catalysis, Department of Chemical Engineering and Chemistry, P. O. Box 513, 5600, MB, Eindhoven, The Netherlands.
Steven J LeakeID01/ESRF, The European Synchrotron, 71 Avenue des Martyrs, 38000, Grenoble, France.
Tobias U SchülliID01/ESRF, The European Synchrotron, 71 Avenue des Martyrs, 38000, Grenoble, France.
Emiel J M HensenLaboratory for Inorganic Materials and Catalysis, Department of Chemical Engineering and Chemistry, P. O. Box 513, 5600, MB, Eindhoven, The Netherlands.
Olivier ThomasAix Marseille Université, CNRS, Université de Toulon, IM2NP UMR 7334, 13397, Marseille, France.
Marie-Ingrid RichardAix Marseille Université, CNRS, Université de Toulon, IM2NP UMR 7334, 13397, Marseille, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bragg coherent X-ray diffraction imaging (BCDI) has emerged as a powerful technique to image the local displacement field and strain in nanocrystals, in three dimensions with nanometric spatial resolution. However, BCDI relies on both dataset collection and phase retrieval algorithms that can induce artefacts in the reconstruction. Phase retrieval algorithms are based on the fast Fourier transform (FFT). We demonstrate how to calculate the displacement field inside a nanocrystal from its reconstructed phase depending on the mathematical convention used for the FFT. We use numerical simulations to quantify the influence of experimentally unavoidable detector deficiencies such as blind areas or limited dynamic range as well as post-processing filtering on the reconstruction. We also propose a criterion for the isosurface determination of the object, based on the histogram of the reconstructed modulus. Finally, we study the capability of the phasing algorithm to quantitatively retrieve the surface strain (i.e., the strain of the surface voxels). This work emphasizes many aspects that have been neglected so far in BCDI, which need to be understood for a quantitative analysis of displacement and strain based on this technique. It concludes with the optimization of experimental parameters to improve throughput and to establish BCDI as a reliable 3D nano-imaging technique.

Identifiers

PMID31758040
PMCPMC6874548

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.