scholarly journals Impact of x-ray dose on track formation and data analysis for CR-39-based proton diagnostics

2015 ◽  
Vol 86 (12) ◽  
pp. 123511 ◽  
Author(s):  
H. G. Rinderknecht ◽  
J. Rojas-Herrera ◽  
A. B. Zylstra ◽  
J. A. Frenje ◽  
M. Gatu Johnson ◽  
...  
Keyword(s):  
X Ray ◽  
Author(s):  
P. Ingram

It is well established that unique physiological information can be obtained by rapidly freezing cells in various functional states and analyzing the cell element content and distribution by electron probe x-ray microanalysis. (The other techniques of microanalysis that are amenable to imaging, such as electron energy loss spectroscopy, secondary ion mass spectroscopy, particle induced x-ray emission etc., are not addressed in this tutorial.) However, the usual processes of data acquisition are labor intensive and lengthy, requiring that x-ray counts be collected from individually selected regions of each cell in question and that data analysis be performed subsequent to data collection. A judicious combination of quantitative elemental maps and static raster probes adds not only an additional overall perception of what is occurring during a particular biological manipulation or event, but substantially increases data productivity. Recent advances in microcomputer instrumentation and software have made readily feasible the acquisition and processing of digital quantitative x-ray maps of one to several cells.


Proceedings ◽  
2020 ◽  
Vol 62 (1) ◽  
pp. 9
Author(s):  
Oriol Vallcorba ◽  
Jordi Rius

The d1Dplot and d2Dplot computer programs have been developed as user-friendly tools for the inspection and processing of 1D and 2D X-ray diffraction (XRD) data, respectively. d1Dplot provides general tools for data processing and includes the ability to generate comprehensive 2D plots of multiple patterns to easily follow transformation processes. d2Dplot is a full package for 2D XRD data. Besides general processing tools, it includes specific data analysis routines for the application of the through-the-substrate methodology [Rius et al. IUCrJ 2015, 2, 452–463]. Both programs allow the creation of a user compound database for the identification of crystalline phases. The software can be downloaded from the ALBA Synchrotron Light Source website and can be used free of charge for non-commercial and academic purposes.


2018 ◽  
Vol 122 (45) ◽  
pp. 10320-10329 ◽  
Author(s):  
Amin Sadeghpour ◽  
Marjorie Ladd Parada ◽  
Josélio Vieira ◽  
Megan Povey ◽  
Michael Rappolt

1989 ◽  
Vol 40 (1) ◽  
pp. 330-340 ◽  
Author(s):  
J. Balmer ◽  
C. L. S. Lewis ◽  
R. E. Corbett ◽  
E. Robertson ◽  
S. Saadat ◽  
...  

2021 ◽  
Vol 251 ◽  
pp. 04020
Author(s):  
Yu Hu ◽  
Ling Li ◽  
Haolai Tian ◽  
Zhibing Liu ◽  
Qiulan Huang ◽  
...  

Daisy (Data Analysis Integrated Software System) has been designed for the analysis and visualisation of X-ray experiments. To address the requirements of the Chinese radiation facilities community, spanning an extensive range from purely algorithmic problems to scientific computing infrastructure, Daisy sets up a cloud-native platform to support on-site data analysis services with fast feedback and interaction. Furthermore, the plug-in based application is convenient to process the expected high throughput data flow in parallel at next-generation facilities such as the High Energy Photon Source (HEPS). The objectives, functionality and architecture of Daisy are described in this article.


1995 ◽  
Vol 28 (5) ◽  
pp. 630-632
Author(s):  
M. Lorenzen ◽  
C. Ferrero ◽  
O. Diat ◽  
C. Riekel ◽  
U. Mayerhofer

A set of macros based on CERN's program package PAW has been developed for interactive preprocessing of two-dimensional detector data at ESRF prior to more detailed data analysis. Various types of image operations (averaging, cuts, background correction etc.) are available. The main use of the package is at present in small- and wide-angle X-ray scattering (SAXS and WAXS). The flexibility of the package allows, however, easy adaptation to other areas such as fibre or powder diffraction.


2017 ◽  
Vol 73 (9) ◽  
pp. 729-737 ◽  
Author(s):  
Andrea Thorn ◽  
James Parkhurst ◽  
Paul Emsley ◽  
Robert A. Nicholls ◽  
Melanie Vollmar ◽  
...  

In this paper,AUSPEX, a new software tool for experimental X-ray data analysis, is presented. Exploring the behaviour of diffraction intensities and the associated estimated uncertainties facilitates the discovery of underlying problems and can help users to improve their data acquisition and processing in order to obtain better structural models. The program enables users to inspect the distribution of observed intensities (or amplitudes) against resolution as well as the associated estimated uncertainties (sigmas). It is demonstrated howAUSPEXcan be used to visually and automatically detect ice-ring artefacts in integrated X-ray diffraction data. Such artefacts can hamper structure determination, but may be difficult to identify from the raw diffraction images produced by modern pixel detectors. The analysis suggests that a significant portion of the data sets deposited in the PDB contain ice-ring artefacts. Furthermore, it is demonstrated how other problems in experimental X-ray data caused, for example, by scaling and data-conversion procedures can be detected byAUSPEX.


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