Accurate and fast identification of minimally prepared bacteria phenotypes using Raman spectroscopy assisted by machine learning.
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| Title: | Accurate and fast identification of minimally prepared bacteria phenotypes using Raman spectroscopy assisted by machine learning. |
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| Authors: | Thomsen BL; Danish Fundamental Metrology, Kogle Allé 5, 2970, Hørsholm, Denmark., Christensen JB; Danish Fundamental Metrology, Kogle Allé 5, 2970, Hørsholm, Denmark., Rodenko O; Danish Fundamental Metrology, Kogle Allé 5, 2970, Hørsholm, Denmark., Usenov I; Institute of Optics and Atomic Physics, Technische Universität Berlin, Straße des 17. Juni 135, 10623, Berlin, Germany.; Art photonics GmbH, Rudower Ch 46, 12489, Berlin, Germany., Grønnemose RB; Research Unit of Clinical Microbiology, University of Southern Denmark and Odense University Hospital, J.B. Winsløws Vej 21.2, 5000, Odense, Denmark., Andersen TE; Research Unit of Clinical Microbiology, University of Southern Denmark and Odense University Hospital, J.B. Winsløws Vej 21.2, 5000, Odense, Denmark., Lassen M; Danish Fundamental Metrology, Kogle Allé 5, 2970, Hørsholm, Denmark. ml@dfm.dk. |
| Source: | Scientific reports [Sci Rep] 2022 Sep 30; Vol. 12 (1), pp. 16436. Date of Electronic Publication: 2022 Sep 30. |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 36180775 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Accurate and fast identification of minimally prepared bacteria phenotypes using Raman spectroscopy assisted by machine learning. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Thomsen+BL%22">Thomsen BL</searchLink>; Danish Fundamental Metrology, Kogle Allé 5, 2970, Hørsholm, Denmark.<br /><searchLink fieldCode="AU" term="%22Christensen+JB%22">Christensen JB</searchLink>; Danish Fundamental Metrology, Kogle Allé 5, 2970, Hørsholm, Denmark.<br /><searchLink fieldCode="AU" term="%22Rodenko+O%22">Rodenko O</searchLink>; Danish Fundamental Metrology, Kogle Allé 5, 2970, Hørsholm, Denmark.<br /><searchLink fieldCode="AU" term="%22Usenov+I%22">Usenov I</searchLink>; Institute of Optics and Atomic Physics, Technische Universität Berlin, Straße des 17. Juni 135, 10623, Berlin, Germany.; Art photonics GmbH, Rudower Ch 46, 12489, Berlin, Germany.<br /><searchLink fieldCode="AU" term="%22Grønnemose+RB%22">Grønnemose RB</searchLink>; Research Unit of Clinical Microbiology, University of Southern Denmark and Odense University Hospital, J.B. Winsløws Vej 21.2, 5000, Odense, Denmark.<br /><searchLink fieldCode="AU" term="%22Andersen+TE%22">Andersen TE</searchLink>; Research Unit of Clinical Microbiology, University of Southern Denmark and Odense University Hospital, J.B. Winsløws Vej 21.2, 5000, Odense, Denmark.<br /><searchLink fieldCode="AU" term="%22Lassen+M%22">Lassen M</searchLink>; Danish Fundamental Metrology, Kogle Allé 5, 2970, Hørsholm, Denmark. ml@dfm.dk. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101563288%22">Scientific reports</searchLink> [Sci Rep] 2022 Sep 30; Vol. 12 (1), pp. 16436. <i>Date of Electronic Publication: </i>2022 Sep 30. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Research Support, Non-U.S. Gov't – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Nature+Publishing+Group%22">Nature Publishing Group </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101563288 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2045-2322 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2220452322%22">20452322 </searchLink><i>NLM ISO Abbreviation: </i>Sci Rep <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=36180775 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1038/s41598-022-20850-z Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 16436 Titles: – TitleFull: Accurate and fast identification of minimally prepared bacteria phenotypes using Raman spectroscopy assisted by machine learning. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Thomsen BL – PersonEntity: Name: NameFull: Christensen JB – PersonEntity: Name: NameFull: Rodenko O – PersonEntity: Name: NameFull: Usenov I – PersonEntity: Name: NameFull: Grønnemose RB – PersonEntity: Name: NameFull: Andersen TE – PersonEntity: Name: NameFull: Lassen M IsPartOfRelationships: – BibEntity: Dates: – D: 30 M: 09 Text: 2022 Sep 30 Type: published Y: 2022 Identifiers: – Type: issn-electronic Value: 2045-2322 Numbering: – Type: volume Value: 12 – Type: issue Value: 1 Titles: – TitleFull: Scientific reports Type: main |
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