Phase retrieval x-ray diffractometry (PRXRD): refraction/small-angle scattering data applications

2001 ◽  
Author(s):  
Karen K. Siu ◽  
Andrei Y. Nikulin ◽  
James Hester ◽  
Andreas K. Freund ◽  
Tetsuya Ishikawa
Keyword(s):  
Small Angle ◽  
Phase Retrieval ◽  
Small Angle Scattering ◽  
Scattering Data ◽  
X Ray ◽  
Angle Scattering

A Study of Beryllium-Based Materials and Comparison of Their X-Ray Homogeneities According to Small-Angle Scattering Data

2018 ◽  
Vol 63 (6) ◽  
pp. 874-882 ◽  
Author(s):  
A. A. Semenov ◽  
V. V. Volkov ◽  
A. V. Zabrodin ◽  
V. V. Gorlevskii ◽  
M. S. Sheverdyaev ◽  
...  
Keyword(s):  
Small Angle ◽  
Small Angle Scattering ◽  
Scattering Data ◽  
X Ray ◽  
Angle Scattering

scholarly journals Hierarchically organized materials with ordered mesopores: adsorption isotherm and adsorption-induced deformation from small-angle scattering

2020 ◽  
Vol 22 (22) ◽  
pp. 12713-12723 ◽  
Author(s):  
Lukas Ludescher ◽  
Roland Morak ◽  
Stephan Braxmeier ◽  
Florian Putz ◽  
Nicola Hüsing ◽  
...  
Keyword(s):  
Adsorption Isotherm ◽  
Small Angle ◽  
Small Angle Scattering ◽  
Scattering Data ◽  
X Ray ◽  
Hierarchical Porosity ◽  
X Ray Scattering ◽  
Angle Scattering ◽  
Apparent Strain ◽  
Ordered Mesopores

Apparent strain artifacts resulting from the evaluation of small-angle X-ray scattering data superimpose the actual adsorption induced deformation in silica with hierarchical porosity. These artifacts can be corrected for by detailed modelling.

scholarly journals Varying Collimation for Dark-Field Extraction

2009 ◽  
Vol 2009 ◽  
pp. 1-7 ◽  
Author(s):  
Ge Wang ◽  
Wenxiang Cong ◽  
Haiou Shen ◽  
Yu Zou
Keyword(s):  
Aspect Ratio ◽  
Small Angle ◽  
Dark Field ◽  
Small Angle Scattering ◽  
Primary Beam ◽  
Scattering Data ◽  
Projection Data ◽  
X Ray ◽  
X Ray Imaging ◽  
Angle Scattering

Although x-ray imaging is widely used in biomedical applications, biological soft tissues have small density changes, leading to low contrast resolution for attenuation-based x-ray imaging. Over the past years, x-ray small-angle scattering was studied as a new contrast mechanism to enhance subtle structural variation within the soft tissue. In this paper, we present a detection method to extract this type of x-ray scattering data, which are also referred to as dark-field signals. The key idea is to acquire an x-ray projection multiple times with varying collimation before an x-ray detector array. The projection data acquired with a collimator of a sufficiently high collimation aspect ratio contain mainly the primary beam with little scattering, while the data acquired with an appropriately reduced collimation aspect ratio include both the primary beam and small-angle scattering signals. Then, analysis of these corresponding datasets will produce desirable dark-field signals; for example, via digitally subtraction. In the numerical experiments, the feasibility of our dark-field detection technology is demonstrated in Monte Carlo simulation. The results show that the acquired dark field signals can clearly reveal the structural information of tissues in terms of Rayleigh scattering characteristics.

TheSmall Angle Scattering ToolBox(SASTBX): an open-source software for biomolecular small-angle scattering

2012 ◽  
Vol 45 (3) ◽  
pp. 587-593 ◽  
Author(s):  
Haiguang Liu ◽  
Alexander Hexemer ◽  
Peter H. Zwart
Keyword(s):  
Open Source ◽  
Open Source Software ◽  
Small Angle ◽  
Small Angle Scattering ◽  
Scattering Data ◽  
Model Reconstruction ◽  
Biomolecular Structure ◽  
X Ray ◽  
Structure And Dynamics ◽  
Angle Scattering

Small-angle X-ray and neutron scattering experiments are broadly applied to study biomolecular structure and dynamics. This article presents theSmall Angle Scattering ToolBox(SASTBX), which provides a wide-ranging functionality for the analysis of biological small-angle scattering data, from data reduction to model reconstruction and refinement. TheSASTBXis an open-source package, which is freely available at http://sastbx.als.lbl.gov.

scholarly journals Two practical Java software tools for small-angle X-ray scattering analysis of biomolecules

2014 ◽  
Vol 47 (2) ◽  
pp. 810-815 ◽  
Author(s):  
Andreas Hofmann ◽  
Andrew E. Whitten
Keyword(s):  
Small Angle ◽  
Three Dimensional ◽  
Small Angle Scattering ◽  
Ease Of Use ◽  
Scattering Data ◽  
X Ray ◽  
X Ray Scattering ◽  
Angle Scattering ◽  
Three Dimensional Models ◽  
Ray Scattering

Small-angle X-ray scattering has established itself as a common technique in structural biology research. Here, two novel Java applications to aid modelling of three-dimensional macromolecular structures based on small-angle scattering data are described.MolScatis an application that computes small-angle scattering intensities from user-provided three-dimensional models. The program can fit the theoretical scattering intensities to experimental X-ray scattering data.SAFIRis a program for interactive rigid-body modelling into low-resolution shapes restored from small-angle scattering data. The program has been designed with an emphasis on ease of use and intuitive handling. An embedded version ofMolScatis used to enable quick evaluation of the fit between the model and experimental scattering data.SAFIRalso provides options to refine macromolecular complexes with optional user-specified restraints against scattering data by means of a Monte Carlo approach.

WillItFit: a framework for fitting of constrained models to small-angle scattering data

2013 ◽  
Vol 46 (6) ◽  
pp. 1894-1898 ◽  
Author(s):  
Martin Cramer Pedersen ◽  
Lise Arleth ◽  
Kell Mortensen
Keyword(s):  
Small Angle ◽  
Profile Likelihood ◽  
Trust Region ◽  
Small Angle Scattering ◽  
Analytical Models ◽  
Scattering Data ◽  
X Ray ◽  
Angle Scattering ◽  
Instrumental Resolution ◽  
Constrained Models

A software framework for analysis of small-angle scattering data is presented. On the basis of molecular constraints and prior knowledge of the chemical composition of the sample, the software is capable of simultaneously fitting small-angle X-ray and neutron scattering data to analytical or semi-analytical models of biomacromolecules. The software features various fitting routines along with the possibility of incorporating instrumental resolution effects on the fit. Finally, trust region estimation, based on the profile likelihood strategy, is implemented. The algorithms and models are written in C, whereas the user interface is written in Python. Parallelization is implemented using the OpenMP extensions to C. The source code is available for free upon request orviathe associated code repository. The software runs on Linux, Windows and OSX and is available as an open-source initiative published under the General Publishing License.

Quantification of the information in small-angle scattering data

2014 ◽  
Vol 47 (6) ◽  
pp. 2000-2010 ◽  
Author(s):  
Martin Cramer Pedersen ◽  
Steen Laugesen Hansen ◽  
Bo Markussen ◽  
Lise Arleth ◽  
Kell Mortensen
Keyword(s):  
Data Analysis ◽  
Neutron Scattering ◽  
Ray Tracing ◽  
Information Content ◽  
Small Angle ◽  
Small Angle Scattering ◽  
Scattering Data ◽  
X Ray ◽  
Angle Scattering ◽  
Wide Range

Small-angle X-ray and neutron scattering have become increasingly popular owing to improvements in instrumentation and developments in data analysis, sample handling and sample preparation. For some time, it has been suggested that a more systematic approach to the quantification of the information content in small-angle scattering data would allow for a more optimal experiment planning and a more reliable data analysis. In the present article, it is shown how ray-tracing techniques in combination with a statistically rigorous data analysis provide an appropriate platform for such a systematic quantification of the information content in scattering data. As examples of applications, it is shown how the exposure time at different instrumental settings or contrast situations can be optimally prioritized in an experiment. Also, the gain in information by combining small-angle X-ray and neutron scattering is assessed. While solution small-angle scattering data of proteins and protein–lipid complexes are used as examples in the present case study, the approach is generalizable to a wide range of other samples and experimental techniques. The source code for the algorithms and ray-tracing components developed for this study has been made available on-line.

Small-Angle Scattering Methods for Studying the Sintering of Nanophase Ceramic Compacts

1994 ◽  
Vol 376 ◽  
Author(s):  
Susan Krueger ◽  
Andrew J. Allen ◽  
Ganesh Skandan ◽  
Gabrielle G. Long ◽  
Horst Hahn ◽  
...  
Keyword(s):  
Small Angle ◽  
Volume Fraction ◽  
Total Pore Volume ◽  
Complete Characterization ◽  
Small Angle Scattering ◽  
Scattering Data ◽  
Absolute Calibration ◽  
X Ray ◽  
Angle Scattering ◽  
Nitrogen Desorption

ABSTRACTStudies of microstructure evolution as a function of sintering parameters are necessary to better control the microstructure of nanophase ceramic compacts during processing. Small-angle scattering provides a comprehensive probe of the statistically-representative microstructures present in nanophase ceramics. A complete characterization includes complementary density, electron microscopy, nitrogen desorption and x-ray diffraction measurements. Small-angleneutron and ultra-small-angle x-ray scattering have been used to determine the effects of different sintering temperatures, pressures and additives during sintering of nanophase zirconia compacts. The samples were of sufficient size and uniformity to permit absolute calibration of the scattering data, making it possible to confirm that scattering from the pore/grain interface dominates the total scattering cross-section. A quantitative microstructural model was developed for this system, resulting in the determination of specific pore surface area, total pore volume fraction, pore number size distribution and grain size as a function of sintering parameters.

Sign in / Sign up

Export Citation Format

Share Document