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dc.contributor.authorMagnussen, Eirik Almklov
dc.contributor.authorZimmermann, Boris
dc.contributor.authorBlazhko, Uladzislau
dc.contributor.authorDzurendová, Simona
dc.contributor.authorDupuy--Galet, Benjamin Xavier
dc.contributor.authorByrtusova, Dana
dc.contributor.authorMuthreich, Florian
dc.contributor.authorTafintseva, Valeria
dc.contributor.authorLiland, Kristian Hovde
dc.contributor.authorTøndel, Kristin
dc.contributor.authorShapaval, Volha
dc.contributor.authorKohler, Achim
dc.date.accessioned2023-03-27T08:49:02Z
dc.date.available2023-03-27T08:49:02Z
dc.date.created2023-01-13T13:14:47Z
dc.date.issued2022
dc.identifier.citationCommunications chemistry. 2022, 5 (1), .
dc.identifier.issn2399-3669
dc.identifier.urihttps://hdl.handle.net/11250/3060513
dc.language.isoeng
dc.titleDeep learning-enabled Inference of 3D molecular absorption distribution of biological cells from IR spectra
dc.title.alternativeDeep learning-enabled Inference of 3D molecular absorption distribution of biological cells from IR spectra
dc.typePeer reviewed
dc.typeJournal article
dc.description.versionpublishedVersion
dc.source.pagenumber10
dc.source.volume5
dc.source.journalCommunications chemistry
dc.source.issue1
dc.identifier.doi10.1038/s42004-022-00792-3
dc.identifier.cristin2106580
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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