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Evaluation of the performance of classification algorithms for XFEL single-particle imaging data

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dc.contributor.authorShi, Yingchen.
dc.contributor.authorYin, K. e.
dc.contributor.authorTai, Xuecheng.
dc.contributor.authorDeMirci, Hasan.
dc.contributor.authorVartanyants, IvanA.
dc.date.accessioned2024-11-20T09:48:02Z
dc.date.available2024-11-20T09:48:02Z
dc.date.issued2019
dc.description.abstractUsing X-ray free-electron lasers (XFELs), it is possible to determine three-dimensional structures of nanoscale particles using single-particle imaging methods. Classification algorithms are needed to sort out the single-particle diffraction patterns from the large amount of XFEL experimental data. However, different methods often yield inconsistent results. This study compared the performance of three classification algorithms: convolutional neural network, graph cut and diffusion map manifold embedding methods. The identified single-particle diffraction data of the PR772 virus particles were assembled in the three-dimensional Fourier space for real-space model reconstruction. The comparison showed that these three classification methods lead to different datasets and subsequently result in different electron density maps of the reconstructed models. Interestingly, the common dataset selected by these three methods improved the quality of the merged diffraction volume, as well as the resolutions of the reconstructed maps.
dc.format.extentС. 331-340;
dc.identifier.citationEvaluation of the performance of classification algorithms for XFEL single-particle imaging data / Shi, Yingchen [et al.] // IUCrJ. - 2019. - 6. - P. 331-340;. - 10.1107/S2052252519001854
dc.identifier.doi10.1107/S2052252519001854
dc.identifier.urihttps://www.doi.org/10.1107/S2052252519001854
dc.identifier.urihttps://www.scopus.com/record/display.uri?eid=2-s2.0-85062655163&origin=resultslist
dc.identifier.urihttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS_CPL&DestLinkType=FullRecord&UT=WOS:000460412800020
dc.identifier.urihttps://openrepository.mephi.ru/handle/123456789/16645
dc.relation.ispartofIUCrJ
dc.titleEvaluation of the performance of classification algorithms for XFEL single-particle imaging data
dc.typeArticle
dspace.entity.typePublication
oaire.citation.volume6
relation.isOrgUnitOfPublicationdcdb137c-0528-46a5-841b-780227a67cce
relation.isOrgUnitOfPublication.latestForDiscoverydcdb137c-0528-46a5-841b-780227a67cce
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