| Autocovariance Structures for Radial Averages in Small Angle X-Ray Scattering Experiments. | |
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MedLine Citation:
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PMID: 23355752 Owner: NLM Status: Publisher |
Abstract/OtherAbstract:
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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. |
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Authors:
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F Jay Breidt; Andreea Erciulescu; Mark van der Woerd |
Publication Detail:
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Type: JOURNAL ARTICLE Date: 2012-5-18 |
Journal Detail:
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Title: Journal of time series analysis / a journal sponsored by the Bernoulli Society for Mathematical Statistics and Probability Volume: 33 ISSN: 0143-9782 ISO Abbreviation: J Time Ser Anal Publication Date: 2012 Sep |
Date Detail:
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Created Date: 2013-1-28 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 101574749 Medline TA: J Time Ser Anal Country: - |
Other Details:
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Languages: ENG Pagination: 704-717 Citation Subset: - |
Affiliation:
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Department of Statistics, Colorado State University. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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