Bacterial pattern identification in near-infrared spectrum
dc.contributor.author | Křepelka, Pavel | cs |
dc.contributor.author | Perez-Rodriguez, Fernando | cs |
dc.contributor.author | Bartušek, Karel | cs |
dc.coverage.issue | 3 | cs |
dc.coverage.volume | 4 | cs |
dc.date.accessioned | 2021-10-01T10:53:40Z | |
dc.date.available | 2021-10-01T10:53:40Z | |
dc.date.issued | 2014-09-17 | cs |
dc.description.abstract | Abstract. Microorganism identification, primary bacterial identification and pathogen detection, is important in a lot of microbial scientific areas (diagnosing of infection diseases, food protection). In this, the identification of the strains was performed by near infrared spectroscopy (wavelength from 900 nm to 2500 nm). Different techniques for classification (CVA,ANN…) were examined. It was reached to 100% accuracy on limited count of samples. Near Infrared (NIR) spectroscopy seems to be as suitable method for rapid bacteria identification. It can be used in a wide variety of food protection, medicine microbiology, bio-terrorism threats and environmental studies. | en |
dc.description.abstract | Je rozebrána identifikace bak. kmenů pomocí blízké infračervené spektroskopie (vlnová délka od 900 nm do 2500 nm). Byly zkoumány různé techniky pro klasifikaci (CVA, ANN ...). Bylo dosaženo přesnosti 100% na omezeném počet vzorků. Metoda může být použita v širokém spektru ochrany potravin, farmacie, mikrobiologie a ekologie. | cs |
dc.format | text | cs |
dc.format.extent | 58-60 | cs |
dc.format.mimetype | application/pdf | cs |
dc.identifier.citation | Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska. 2014, vol. 4, issue 3, p. 58-60. | en |
dc.identifier.doi | 10.5604/20830157.1121369 | cs |
dc.identifier.issn | 2083-0157 | cs |
dc.identifier.other | 110141 | cs |
dc.identifier.uri | http://hdl.handle.net/11012/201716 | |
dc.language.iso | en | cs |
dc.publisher | Lublin University of Technology | cs |
dc.relation.ispartof | Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska | cs |
dc.relation.uri | https://ph.pollub.pl/index.php/iapgos/article/view/1235 | cs |
dc.rights | Creative Commons Attribution-ShareAlike 4.0 International | cs |
dc.rights.access | openAccess | cs |
dc.rights.sherpa | http://www.sherpa.ac.uk/romeo/issn/2083-0157/ | cs |
dc.rights.uri | http://creativecommons.org/licenses/by-sa/4.0/ | cs |
dc.subject | Infrared imaging | en |
dc.subject | spectroscopy | en |
dc.subject | cells | en |
dc.subject | absorption | en |
dc.subject | Near infrared spectroscopy | en |
dc.subject | Infračervené zobrazování | |
dc.subject | spektroskopie | |
dc.subject | buňky | |
dc.subject | absorpce | |
dc.subject | infračervená spektroskopie | |
dc.title | Bacterial pattern identification in near-infrared spectrum | en |
dc.title.alternative | Identifikace bakteriálních paternů v infračerveném spektru | cs |
dc.type.driver | article | en |
dc.type.status | Peer-reviewed | en |
dc.type.version | publishedVersion | en |
sync.item.dbid | VAV-110141 | en |
sync.item.dbtype | VAV | en |
sync.item.insts | 2021.10.01 12:53:40 | en |
sync.item.modts | 2021.10.01 12:15:30 | en |
thesis.grantor | Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií. Ústav teoretické a experimentální elektrotechniky | cs |
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