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XTEND: Extending the depth of field in cryo soft X-ray tomography

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dc.contributor.authorOtón, Joaquín
dc.contributor.authorPereiro, Eva
dc.contributor.authorConesa, José J
dc.contributor.authorChichón, Francisco Javier
dc.contributor.authorLuque, Daniel
dc.contributor.authorRodriguez Martinez, Javier M
dc.contributor.authorPérez-Berná, Ana J
dc.contributor.authorSorzano, Carlos Oscar S
dc.contributor.authorKlukowska, Joanna
dc.contributor.authorHerman, Gabor T
dc.contributor.authorVargas, Javier
dc.contributor.authorMarabini, Roberto
dc.contributor.authorCarrascosa, José L
dc.contributor.authorCarazo, José M
dc.contributor.funderMinisterio de Economía y Competitividad (España)
dc.contributor.funderComunidad de Madrid (España)
dc.contributor.funderNational Science Foundation (Estados Unidos)
dc.contributor.funderUnión Europea
dc.date.accessioned2019-03-26T10:06:29Z
dc.date.available2019-03-26T10:06:29Z
dc.date.issued2017-04-04
dc.description.abstractWe have developed a new data collection method and processing framework in full field cryo soft X-ray tomography to computationally extend the depth of field (DOF) of a Fresnel zone plate lens. Structural features of 3D-reconstructed eukaryotic cells that are affected by DOF artifacts in standard reconstruction are now recovered. This approach, based on focal series projections, is easily applicable with closed expressions to select specific data acquisition parameters.es_ES
dc.description.peerreviewedSíes_ES
dc.description.sponsorshipThis work was partially supported by MINECO grants BFU2014-54181 to JLC and AIC-A-2011-0638, BIO2013-44647-R and BIO2016-76400-R to JMC, Madrid. Regional government grants S2013/MIT-2850 to JLC and S2010/BMD-2305 to JMC, National Science Foundation grant DMS-1114901 to GTH, the European Union through BioStruct-X Project 283570 and Horizon 2020 through grant iNEXT (INFRAIA-1-2014-2015, Proposal: 653706).es_ES
dc.format.number1es_ES
dc.format.page45808es_ES
dc.format.volume7es_ES
dc.identifier.citationSci Rep. 2017 Apr;7:45808es_ES
dc.identifier.doi10.1038/srep45808es_ES
dc.identifier.issn2045-2322es_ES
dc.identifier.journalScientific Reportses_ES
dc.identifier.pubmedID28374769es_ES
dc.identifier.urihttp://hdl.handle.net/20.500.12105/7365
dc.language.isoenges_ES
dc.publisherNature Publishing Group
dc.relation.projectIDinfo:eu-repo/grantAgreement/ES/BFU2014-54181es_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/ES/AIC-A-2011-0638,es_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/ES/BIO2013-44647-Res_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/ES/BIO2016-76400-Res_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/283570es_ES
dc.relation.publisherversionhttps://doi.org/10.1038/srep45808es_ES
dc.repisalud.centroISCIII::Centro Nacional de Microbiologíaes_ES
dc.repisalud.institucionISCIIIes_ES
dc.rights.accessRightsopen accesses_ES
dc.rights.licenseAtribución-4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subject.meshAlgorithmses_ES
dc.subject.meshImage Processing, Computer-Assistedes_ES
dc.subject.meshImaging, Three-Dimensionales_ES
dc.subject.meshTomography, X-Rayes_ES
dc.titleXTEND: Extending the depth of field in cryo soft X-ray tomographyes_ES
dc.typeresearch articlees_ES
dc.type.hasVersionVoRes_ES
dspace.entity.typePublication
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