End-condition for solution small angle X-ray scattering measurements by kernel density estimation

被引:1
|
作者
Sekiguchi, Hiroshi [1 ]
Ohta, Noboru [1 ]
Ishibashi, Hideaki [2 ]
Hino, Hideitsu [3 ]
Mizumaki, Masaichiro [1 ]
机构
[1] Japan Synchrotron Radiat Res Inst, Ctr Synchrotron Radiat Res, Sayo, Japan
[2] Kyushu Inst Technol, Grad Sch Life Sci & Syst Engn, Kitakyushu, Japan
[3] Inst Stat Math, Dept Stat Modeling, Tachikawa, Japan
来源
SCIENCE AND TECHNOLOGY OF ADVANCED MATERIALS-METHODS | 2022年 / 2卷 / 01期
基金
日本科学技术振兴机构;
关键词
SAXS; Bio-SAXS; optimum exposures; kernel density estimation;
D O I
10.1080/27660400.2022.2140021
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
We develop a method for calculating the minimum X-ray exposure time for X-ray solution scattering experiments using statistical and mathematical approaches to enhance the measurement efficiency while maintaining data quality. Experts can determine the X-ray exposure time for samples by investigating time-series data of scattering profiles and considering the quality of scattering profiles and the samples' X-ray damage. In this study, we apply a statistical inequality to estimate the kernel density estimation method's error to determine the minimum X-ray exposure time for protein solution scattering experiments and evaluate the method's validity using the results of Guinier analysis as an indicator. [GRAPHICS]
引用
收藏
页码:426 / 434
页数:9
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