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Bayesian algorithms for recovering structure from single-particle diffraction snapshots of unknown orientation: a comparison

The advent of X-ray free-electron lasers promises the possibility to determine the structure of individual particles such as microcrystallites, viruses and biomolecules from single-shot diffraction snapshots obtained before the particle is destroyed by the intense femtosecond pulse. This program req...

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Detalles Bibliográficos
Autores principales: Moths, Brian, Ourmazd, Abbas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: International Union of Crystallography 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3171899/
https://www.ncbi.nlm.nih.gov/pubmed/21844653
http://dx.doi.org/10.1107/S0108767311019611
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author Moths, Brian
Ourmazd, Abbas
author_facet Moths, Brian
Ourmazd, Abbas
author_sort Moths, Brian
collection PubMed
description The advent of X-ray free-electron lasers promises the possibility to determine the structure of individual particles such as microcrystallites, viruses and biomolecules from single-shot diffraction snapshots obtained before the particle is destroyed by the intense femtosecond pulse. This program requires the ability to determine the orientation of the particle giving rise to each snapshot at signal levels as low as ~10(−2) photons per pixel. Two apparently different approaches have recently demonstrated this capability. Here we show they represent different implementations of the same fundamental approach, and identify the primary factors limiting their performance.
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spelling pubmed-31718992011-09-14 Bayesian algorithms for recovering structure from single-particle diffraction snapshots of unknown orientation: a comparison Moths, Brian Ourmazd, Abbas Acta Crystallogr A Research Papers The advent of X-ray free-electron lasers promises the possibility to determine the structure of individual particles such as microcrystallites, viruses and biomolecules from single-shot diffraction snapshots obtained before the particle is destroyed by the intense femtosecond pulse. This program requires the ability to determine the orientation of the particle giving rise to each snapshot at signal levels as low as ~10(−2) photons per pixel. Two apparently different approaches have recently demonstrated this capability. Here we show they represent different implementations of the same fundamental approach, and identify the primary factors limiting their performance. International Union of Crystallography 2011-09-01 2011-07-06 /pmc/articles/PMC3171899/ /pubmed/21844653 http://dx.doi.org/10.1107/S0108767311019611 Text en © Moths and Ourmazd 2011 http://creativecommons.org/licenses/by/2.0/uk/ This is an open-access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original authors and source are cited.
spellingShingle Research Papers
Moths, Brian
Ourmazd, Abbas
Bayesian algorithms for recovering structure from single-particle diffraction snapshots of unknown orientation: a comparison
title Bayesian algorithms for recovering structure from single-particle diffraction snapshots of unknown orientation: a comparison
title_full Bayesian algorithms for recovering structure from single-particle diffraction snapshots of unknown orientation: a comparison
title_fullStr Bayesian algorithms for recovering structure from single-particle diffraction snapshots of unknown orientation: a comparison
title_full_unstemmed Bayesian algorithms for recovering structure from single-particle diffraction snapshots of unknown orientation: a comparison
title_short Bayesian algorithms for recovering structure from single-particle diffraction snapshots of unknown orientation: a comparison
title_sort bayesian algorithms for recovering structure from single-particle diffraction snapshots of unknown orientation: a comparison
topic Research Papers
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3171899/
https://www.ncbi.nlm.nih.gov/pubmed/21844653
http://dx.doi.org/10.1107/S0108767311019611
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