Breidt F Jay, Erciulescu Andreea, van der Woerd Mark
Department of Statistics, Colorado State University.
J Time Ser Anal. 2012 Sep 1;33(5):704-717. doi: 10.1111/j.1467-9892.2011.00779.x. Epub 2012 May 18.
Small-angle X-ray scattering (SAXS) is a technique for obtaining low-resolution structural information about biological macromolecules, by exposing a dilute solution to a high-intensity X-ray beam and capturing the resulting scattering pattern on a two-dimensional detector. The two-dimensional pattern is reduced to a one-dimensional curve through radial averaging; that is, by averaging across annuli on the detector plane. Subsequent analysis of structure relies on these one-dimensional data. This paper reviews the technique of SAXS and investigates autocorrelation structure in the detector plane and in the radial averages. Across a range of experimental conditions and molecular types, spatial autocorrelation in the detector plane is present and is well-described by a stationary kernel convolution model. The corresponding autocorrelation structure for the radial averages is non-stationary. Implications of the autocorrelation structure for inference about macromolecular structure are discussed.
小角X射线散射(SAXS)是一种用于获取生物大分子低分辨率结构信息的技术,其方法是将稀溶液暴露于高强度X射线束下,并在二维探测器上捕获由此产生的散射图案。通过径向平均将二维图案简化为一维曲线;也就是说,通过在探测器平面上的环形区域进行平均。随后的结构分析依赖于这些一维数据。本文回顾了SAXS技术,并研究了探测器平面和径向平均值中的自相关结构。在一系列实验条件和分子类型中,探测器平面中存在空间自相关,并且可以用平稳核卷积模型很好地描述。径向平均值的相应自相关结构是非平稳的。讨论了自相关结构对大分子结构推断的影响。