Accurate and fast identification of minimally prepared bacteria phenotypes using Raman spectroscopy assisted by machine learning.
Saved in:
| Title: | Accurate and fast identification of minimally prepared bacteria phenotypes using Raman spectroscopy assisted by machine learning. |
|---|---|
| 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 |
|
Full text is not displayed to guests.
Login for full access.
|
|
| ISSN: | 2045-2322 |
|---|---|
| DOI: | 10.1038/s41598-022-20850-z |
