Small-angle X-ray microdiffraction from fibrils embedded in tissue thin sections

© Prakash Nepal et al. 2022.

Bibliographische Detailangaben
Veröffentlicht in:Journal of applied crystallography. - 1998. - 55(2022), Pt 6 vom: 01. Dez., Seite 1562-1571
1. Verfasser: Nepal, Prakash (VerfasserIn)
Weitere Verfasser: Al Bashit, Abdullah, Yang, Lin, Makowski, Lee
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2022
Zugriff auf das übergeordnete Werk:Journal of applied crystallography
Schlagworte:Journal Article Alzheimer’s disease SAXS amyloids scanning microdiffraction small-angle X-ray scattering
Beschreibung
Zusammenfassung:© Prakash Nepal et al. 2022.
Small-angle X-ray scattering (SAXS) from fibrils embedded in a fixed, thin section of tissue includes contributions from the fibrils, the polymeric matrix surrounding the fibrils, other constituents of the tissue, and cross-terms due to the spatial correlation between fibrils and neighboring molecules. This complex mixture severely limits the amount of information that can be extracted from scattering studies. However, availability of micro- and nano-beams has made the measurement of scattering from very small volumes possible, which, in some cases, may be dominated by a single fibrillar constituent. In such cases, information about the predominant species may be accessible. Nevertheless, even in these cases, the correlations between the positions of fibrils and other constituents have a significant impact on the observed scattering. Here, strategies are proposed to extract partial information about fibril structure and tissue organization on the basis of SAXS from samples of this type. It is shown that the spatial correlation function of the fibril in the direction perpendicular to the fibril axis can be computed and contains information about the predominant fibril structure and the organization of the surrounding tissue matrix. This has significant advantages over approaches based on techniques developed for X-ray solution scattering. Examples of correlation calculations in different types of samples are given to demonstrate the information that can be obtained from these measurements
Beschreibung:Date Revised 24.07.2024
published: Electronic-eCollection
Citation Status PubMed-not-MEDLINE
ISSN:0021-8898
DOI:10.1107/S1600576722009955