2019
DOI: 10.1038/s41598-019-42797-4
|View full text |Cite
|
Sign up to set email alerts
|

Impact and mitigation of angular uncertainties in Bragg coherent x-ray diffraction imaging

Abstract: Bragg coherent diffraction imaging (BCDI) is a powerful technique to explore the local strain state and morphology of microscale crystals. The method can potentially reach nanometer-scale spatial resolution thanks to the advances in synchrotron design that dramatically increase coherent flux. However, there are experimental bottlenecks that may limit the image reconstruction quality from future high signal-to-noise ratio measurements. In this work we show that angular uncertainty of the sample orientation with… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2

Citation Types

0
12
0

Year Published

2020
2020
2021
2021

Publication Types

Select...
5
1

Relationship

2
4

Authors

Journals

citations
Cited by 10 publications
(12 citation statements)
references
References 26 publications
0
12
0
Order By: Relevance
“…We note that Equations (38) and (40) can be used as flexible building blocks by which to design new phase retrieval reconstruction algorithms, as has been recently shown (Hruszkewycz et al, 2017;Hill et al, 2018;Calvo-Almazán et al, 2019). As an aid to interested readers, an example of matlab code for such an algorithm is provided in Appendix B in which the projection/back-projection strategy is implemented for the BCDI-ER phase-retrieval algorithm.…”
Section: Numerical Evaluation With Digital Fourier Transformsmentioning
confidence: 79%
See 2 more Smart Citations
“…We note that Equations (38) and (40) can be used as flexible building blocks by which to design new phase retrieval reconstruction algorithms, as has been recently shown (Hruszkewycz et al, 2017;Hill et al, 2018;Calvo-Almazán et al, 2019). As an aid to interested readers, an example of matlab code for such an algorithm is provided in Appendix B in which the projection/back-projection strategy is implemented for the BCDI-ER phase-retrieval algorithm.…”
Section: Numerical Evaluation With Digital Fourier Transformsmentioning
confidence: 79%
“…However, if we consider the case when the RC is regularly sampled, then the regularity of the mesh along k 3 allows one to sidestep the slice-by-slice approach and simply obtain all the slices with a single, much faster, 3D DFT:Ψ = DFT(ψ). As a result, the projection/backprojection strategy described here will be appealing in situations, for example wheñ q 3 is unevenly-sampled, as was demonstrated in (Calvo-Almazán et al, 2019).…”
Section: Numerical Evaluation With Digital Fourier Transformsmentioning
confidence: 88%
See 1 more Smart Citation
“…Because of this angular sensitivity, any uncontrolled rotations due to local heating or to radiation pressure [17,18] make controlled BCDI experiments of small particles very difficult. An approach to deal with small deviations from nominal rocking angles has been developed [19]. The method which re-formulates the phase retrieval problem is limited to small deviations from an ideal reciprocal space sampling pattern, and therefore optimized to deal with slow drifts and instrumental errors.…”
Section: Introductionmentioning
confidence: 99%
“…This latter capability is demonstrated for the cases of even as well as uneven signal sampling in Fourier space, greatly increasing the scope of applicability of 3D phase retrieval. An entirely new class of BCDI experiments potentially stand to benefit from this enhanced reconstruction capability, for instance measurements on dynamically varying samples or BCDI in the presence of unstable or vibrating components(Calvo-Almazán et al, 2019). As we shall see in Part II, such reconstructions can be achieved with minimal computational overhead through the modified 3D Fourier transform.…”
mentioning
confidence: 99%