Rapid and reliable identification of Staphylococcus aureus capsular serotypes by means of artificial neural network-assisted fourier transform infrared spectroscopy

Journal of Clinical Microbiology

Volumn 51, Issue 7, 2013, Pages 2261-2266

  Grunert, Tom ^a   Wenning, Mareike ^b   Barbagelata, María Sol ^c   Fricker, Martina ^a,d   Sordelli, Daniel O ^c   Buzzola, Fernanda R ^c   Ehling Schulz, Monika ^a  

^a UNIVERSITY OF VETERINARY MEDICINE   (Austria)

^b TECHNICAL UNIVERSITY OF MUNICH   (Germany)

^c UNIVERSIDAD DE BUENOS AIRES   (Argentina)

^d UNIVERSITY HOSPITAL REGENSBURG   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ACCURACY; ARTICLE; ARTIFICIAL NEURAL NETWORK; BACTERIAL GROWTH; BACTERIAL STRAIN; BACTERIUM IDENTIFICATION; BACTERIUM ISOLATE; CONTROLLED STUDY; HIGH THROUGHPUT SCREENING; INFRARED SPECTROSCOPY; NONHUMAN; PRIORITY JOURNAL; SEROTYPE; SEROTYPING; STAPHYLOCOCCUS AUREUS; VALIDATION PROCESS; ANIMAL; BACTERIAL CAPSULE; CHEMISTRY; CLASSIFICATION; EVALUATION STUDY; HUMAN; MICROBIOLOGY; PROCEDURES; SENSITIVITY AND SPECIFICITY; STAPHYLOCOCCUS INFECTION;

STAPHYLOCOCCUS AUREUS;

ANIMALS; BACTERIAL CAPSULES; HUMANS; NEURAL NETWORKS (COMPUTER); SENSITIVITY AND SPECIFICITY; SEROTYPING; SPECTROSCOPY, FOURIER TRANSFORM INFRARED; STAPHYLOCOCCAL INFECTIONS; STAPHYLOCOCCUS AUREUS;

EID: 84879424237     PISSN: 00951137     EISSN: 1098660X     Source Type: Journal    
DOI: 10.1128/JCM.00581-13     Document Type: Article

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