CLIJ: GPU-accelerated image processing for everyone

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dc.contributor.authorHaase, Robert
dc.contributor.authorRoyer, Loic A.
dc.contributor.authorSteinbach, Peter
dc.contributor.authorSchmidt, Deborah
dc.contributor.authorDibrov, Alexandr
dc.contributor.authorSchmidt, Uwe
dc.contributor.authorWeigert, Martin
dc.contributor.authorMaghelli, Nicola
dc.contributor.authorTomančák, Pavel
dc.contributor.authorJug, Florian
dc.contributor.authorMyers, Eugene W.
dc.date.accessioned2020-02-20T06:32:36Z
dc.date.available2020-02-20T06:32:36Z
dc.date.issued2020
dc.description.firstpage5cs
dc.description.issue1cs
dc.description.lastpage6cs
dc.description.sourceWeb of Sciencecs
dc.description.volume17cs
dc.identifier.citationNature Methods. 2020, vol. 17, issue 1, p. 5-6.cs
dc.identifier.doi10.1038/s41592-019-0650-1
dc.identifier.issn1548-7091
dc.identifier.issn1548-7105
dc.identifier.urihttp://hdl.handle.net/10084/139172
dc.identifier.wos000508582900003
dc.language.isoencs
dc.publisherSpringercs
dc.relation.ispartofseriesNature Methodscs
dc.relation.urihttps://doi.org/10.1038/s41592-019-0650-1cs
dc.rightsCopyright © 2019, Springer Naturecs
dc.titleCLIJ: GPU-accelerated image processing for everyonecs
dc.typearticlecs
dc.type.statusPeer-reviewedcs

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