Rapid identification of urinary tract infection bacteria using hyperspectral whole-organism fingerprinting and artificial neural networks

Microbiology

Volumn 144, Issue 5, 1998, Pages 1157-1170

  Goodacre, Royston ^a   Timmins, Éadaoin M ^a   Burton, Rebecca ^a   Kaderbhai, Naheed ^a   Woodward, Andrew M ^a   Kell, Douglas B ^a   Rooney, Paul J ^b  

^a ABERYSTWYTH UNIVERSITY   (United Kingdom)

^b Bronglais General Hospital   (United Kingdom)

Author keywords

Artificial neural networks; Fourier transform infrared spectroscopy; Pyrolysis mass spectrometry; Raman microscopy; Urinary tract infection

Indexed keywords

ARTICLE; ARTIFICIAL NEURAL NETWORK; BACTERIUM ISOLATION; DISCRIMINANT ANALYSIS; INFRARED SPECTROSCOPY; MASS SPECTROMETRY; PRIORITY JOURNAL; RAMAN SPECTROMETRY; URINARY TRACT INFECTION;

BACTERIA (MICROORGANISMS);

EID: 0031781727     PISSN: 13500872     EISSN: None     Source Type: Journal    
DOI: 10.1099/00221287-144-5-1157     Document Type: Article

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