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dc.contributor.authorStřelák, David-
dc.contributor.authorFilipovič, Jiří-
dc.contributor.authorJiménez-Moreno, Amaya-
dc.contributor.authorCarazo, José M.-
dc.contributor.authorSánchez Sorzano, Carlos Óscar-
dc.date.accessioned2020-06-30T16:34:44Z-
dc.date.available2020-06-30T16:34:44Z-
dc.date.issued2020-06-23-
dc.identifier.citationElectronics 9(6): 1040 (2020)-
dc.identifier.urihttp://hdl.handle.net/10261/215662-
dc.description© 2020 by the authors.-
dc.description.abstractCryogenic Electron Microscopy (Cryo-EM) has been established as one of the key players in Structural Biology. It can reconstruct a 3D model of the sample at the near-atomic resolution, which led to a Method of the year award by Nature, and the Nobel Prize in 2017. With the growing number of facilities, faster microscopes, and new imaging techniques, new algorithms are needed to process the so-called movies data produced by the microscopes in real-time, while preserving a high resolution and maximum of additional information. In this article, we present a new algorithm used for movie alignment, called FlexAlign. FlexAlign is able to correctly compensate for the shift produced during the movie acquisition on-the-fly, using the current generation of hardware. The algorithm performs a global and elastic local registration of the movie frames using Cross-Correlation and B-spline interpolation for high precision. We show that our execution time is compatible with real-time correction and that we preserve the high-resolution information up to high frequency.-
dc.description.sponsorshipThe authors would like to acknowledge financial support from: the Comunidad de Madrid through grant CAM (S2017/BMD-3817), the Spanish Ministry of Economy and Competitiveness (BIO2016-76400-R), the Instituto de Salud Carlos III, PT17/0009/0010 (ISCIII-SGEFI/ERDF) and the European Union and Horizon 2020 through grant: CORBEL (INFRADEV-01-2014-1, Proposal 654248), INSTRUCT-ULTRA (INFRADEV-03-016-2017, Proposal 731005), EOSC Life (INFRAEOSC-04-2018, Proposal: 824087) and HighResCells (ERC-2018-SyG, Proposal: 810057). The project that gave rise to these results received the support of a fellowship from “la Caixa” Foundation (ID 100010434). The fellowship code is LCF/BQ/DI18/11660021. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No. 713673. The work was supported from European Regional Development Fund-Project “CERIT Scientific Cloud” (No. CZ.02.1.01/0.0/0.0/16_013/0001802).-
dc.language.isoeng-
dc.publisherMultidisciplinary Digital Publishing Institute-
dc.relationS2017/BMD-3817/TomoXLiver-CM-
dc.relationMINECO/ICTI2013-2016/BIO2016-76400-R-
dc.relationinfo:eu-repo/grantAgreement/EC/H2020/654248-
dc.relationinfo:eu-repo/grantAgreement/EC/H2020/731005-
dc.relationinfo:eu-repo/grantAgreement/EC/H2020/824087-
dc.relationinfo:eu-repo/grantAgreement/EC/H2020/810057-
dc.relationinfo:eu-repo/grantAgreement/EC/H2020/713673-
dc.relation.isversionofPublisher’s version-
dc.rightsopenAccess-
dc.subjectCryo-em-
dc.subjectMovie alignment-
dc.subjectAcceleration-
dc.subjectGpu-
dc.subjectFlexalign-
dc.subjectCuda-
dc.subjectAutotuning-
dc.subjectCufft-
dc.subjectCufftadvisor-
dc.titleFlexAlign: An Accurate and Fast Algorithm for Movie Alignment in Cryo-Electron Microscopy-
dc.typeartículo-
dc.identifier.doihttp://dx.doi.org/10.3390/electronics9061040-
dc.description.peerreviewedPeer reviewed-
dc.relation.publisherversionhttps://doi.org/10.3390/electronics9061040-
dc.identifier.e-issn2079-9292-
dc.date.updated2020-06-30T16:34:45Z-
dc.rights.licensehttp://creativecommons.org/licenses/by/4.0/-
dc.contributor.funderComunidad de Madrid-
dc.contributor.funderMinisterio de Economía y Competitividad (España)-
dc.contributor.funderEuropean Commission-
dc.relation.csic-
dc.identifier.funderhttp://dx.doi.org/10.13039/501100003329es_ES
dc.identifier.funderhttp://dx.doi.org/10.13039/100012818es_ES
dc.identifier.funderhttp://dx.doi.org/10.13039/501100000780es_ES
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