Literature DB >> 16609226

Integration of macromolecular diffraction data using radial basis function networks.

B Pokrić1, N M Allinson, J R Helliwell.   

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.

Year:  2000        PMID: 16609226     DOI: 10.1107/S0909049500012929

Source DB:  PubMed          Journal:  J Synchrotron Radiat        ISSN: 0909-0495            Impact factor:   2.616


  1 in total

1.  BraggNet: integrating Bragg peaks using neural networks.

Authors:  Brendan Sullivan; Rick Archibald; Jahaun Azadmanesh; Venu Gopal Vandavasi; Patricia S Langan; Leighton Coates; Vickie Lynch; Paul Langan
Journal:  J Appl Crystallogr       Date:  2019-07-26       Impact factor: 3.304

  1 in total

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