Three-dimensional spatiotemporal self-referenced characterization of ultrashort pulses using the coherent diffraction imaging technique

Author(s):  
youjian yi ◽  
Yingming Xu ◽  
Ping Zhu ◽  
Xingchen Pan ◽  
Dongjun Zhang ◽  
...  
2012 ◽  
Vol 45 (4) ◽  
pp. 778-784 ◽  
Author(s):  
Xiaojing Huang ◽  
Ross Harder ◽  
Steven Leake ◽  
Jesse Clark ◽  
Ian Robinson

A complex three-dimensional quantitative image of an extended zinc oxide (ZnO) crystal has been obtained using Bragg coherent diffraction imaging integrated with ptychography. By scanning a 2.5 µm-long arm of a ZnO tetrapod across a 1.3 µm X-ray beam with fine step sizes while measuring a three-dimensional diffraction pattern at each scan spot, the three-dimensional electron density and projected displacement field of the entire crystal were recovered. The simultaneously reconstructed complex wavefront of the illumination combined with its coherence properties determined by a partial coherence analysis implemented in the reconstruction process provide a comprehensive characterization of the incident X-ray beam.


2019 ◽  
Vol 52 (3) ◽  
pp. 571-578 ◽  
Author(s):  
Y. Chushkin ◽  
F. Zontone ◽  
O. Cherkas ◽  
A. Gibaud

This article presents a combined approach where quantitative forward-scattering coherent diffraction imaging (CDI) is supported by crystal diffraction using 8.1 keV synchrotron X-ray radiation. The method allows the determination of the morphology, mass density and crystallinity of an isolated microscopic specimen. This approach is tested on three homogeneous samples made of different materials with different degrees of crystallinity. The mass density and morphology are revealed using three-dimensional coherent diffraction imaging with a resolution better than 36 nm. The crystallinity is extracted from the diffraction profiles measured simultaneously with coherent diffraction patterns. The presented approach extends CDI to structural characterization of samples when crystallinity aspects are of interest.


2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Bruce Lim ◽  
Ewen Bellec ◽  
Maxime Dupraz ◽  
Steven Leake ◽  
Andrea Resta ◽  
...  

AbstractCoherent diffraction imaging enables the imaging of individual defects, such as dislocations or stacking faults, in materials. These defects and their surrounding elastic strain fields have a critical influence on the macroscopic properties and functionality of materials. However, their identification in Bragg coherent diffraction imaging remains a challenge and requires significant data mining. The ability to identify defects from the diffraction pattern alone would be a significant advantage when targeting specific defect types and accelerates experiment design and execution. Here, we exploit a computational tool based on a three-dimensional (3D) parametric atomistic model and a convolutional neural network to predict dislocations in a crystal from its 3D coherent diffraction pattern. Simulated diffraction patterns from several thousands of relaxed atomistic configurations of nanocrystals are used to train the neural network and to predict the presence or absence of dislocations as well as their type (screw or edge). Our study paves the way for defect-recognition in 3D coherent diffraction patterns for material science.


2018 ◽  
Vol 74 (5) ◽  
pp. 512-517
Author(s):  
Miklós Tegze ◽  
Gábor Bortel

In coherent-diffraction-imaging experiments X-ray diffraction patterns of identical particles are recorded. The particles are injected into the X-ray free-electron laser (XFEL) beam in random orientations. If the particle has symmetry, finding the orientation of a pattern can be ambiguous. With some modifications, the correlation-maximization method can find the relative orientations of the diffraction patterns for the case of symmetric particles as well. After convergence, the correlation maps show the symmetry of the particle and can be used to determine the symmetry elements and their orientations. The C factor, slightly modified for the symmetric case, can indicate the consistency of the assembled three-dimensional intensity distribution.


2020 ◽  
Vol 19 (01) ◽  
pp. 1 ◽  
Author(s):  
Iacopo Mochi ◽  
Sara Fernandez ◽  
Ricarda Nebling ◽  
Uldis Locans ◽  
Rajendran Rajeev ◽  
...  

2018 ◽  
Vol 4 (4) ◽  
Author(s):  
Waqas Ahmad ◽  
Iram Zaheer ◽  
Imran Khalid Niazi ◽  
Khurram Aftab Mufti

Small bowel is not easily accessed by endoscope and diagnosis of its pathology relies on clinical assessment and imaging. Traditional contrast studies have the disadvantage of not including the mural and extramural details. This is best seen with magnetic resonance enterography (MRE) which is rapidly replacing computed tomography enterography due to better soft tissue resolution and lack of ionizing radiation. Comprehensive MRE requires axial and coronal T1- and T2-WI, high-resolution diffusion-weighted images, fat-suppressed three-dimensional T1-W breath-hold gradient-echo images of the abdomen, and pelvis before and after intravenous gadolinium-based contrast material administration. MRE is the preferred imaging technique for small bowel pathology due to its ability to show mural and extramural details which allow differentiation in acute, active, and chronicity of changes. Being radiation free, there is no age limitation for its use.


2012 ◽  
Vol 18 (6) ◽  
pp. 1368-1379 ◽  
Author(s):  
Lalith B. Suragani Venu ◽  
Eunkyoung Shim ◽  
Nagendra Anantharamaiah ◽  
Behnam Pourdeyhimi

AbstractNonwoven materials are found in a gamut of critical applications. This is partly due to the fact that these structures can be produced at high speed and engineered to deliver unique functionality at low cost. The behavior of these materials is highly dependent on alignment of fibers within the structure. The ability to characterize and also to control the structure is important, but very challenging due to the complex nature of the structures. Thus, to date, focus has been placed mainly on two-dimensional analysis techniques for describing the behavior of nonwovens. This article demonstrates the utility of three-dimensional (3D) digital volumetric imaging technique for visualizing and characterizing a complex 3D class of nonwoven structures produced by hydroentanglement.


2011 ◽  
Vol 36 (12) ◽  
pp. 2227 ◽  
Author(s):  
Stephan O. Hruszkewycz ◽  
Martin V. Holt ◽  
Ash Tripathi ◽  
Jörg Maser ◽  
Paul H. Fuoss

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