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Integration of macromolecular diffraction data using radial basis function networks

Identifieur interne : 000347 ( Main/Exploration ); précédent : 000346; suivant : 000348

Integration of macromolecular diffraction data using radial basis function networks

Auteurs : Boris Pokri ; Nigel M. Allinson ; John R. Helliwell

Source :

RBID : ISTEX:432C0FC8B875DAFFC6EDAFACD3EDB9E6E11701A2

English descriptors

Abstract

This paper presents a novel approach for intensity calculation of X‐ray diffraction spots based on a two‐stage radial basis function (RBF) network. The first stage uses pre‐determined reference profiles from a database as basis functions in order to locate the diffraction spots and identify any overlapping regions. The second‐stage RBF network employs narrow basis functions capable of local modifications of the reference profiles leading to a more accurate observed diffraction spot approximation and therefore accurate determination of spot positions and integrated intensities.

Url:
DOI: 10.1107/S0909049500012929


Affiliations:


Links toward previous steps (curation, corpus...)


Le document en format XML

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<title level="j">Journal of Synchrotron Radiation</title>
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<div type="abstract" xml:lang="en">This paper presents a novel approach for intensity calculation of X‐ray diffraction spots based on a two‐stage radial basis function (RBF) network. The first stage uses pre‐determined reference profiles from a database as basis functions in order to locate the diffraction spots and identify any overlapping regions. The second‐stage RBF network employs narrow basis functions capable of local modifications of the reference profiles leading to a more accurate observed diffraction spot approximation and therefore accurate determination of spot positions and integrated intensities.</div>
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