scholarly journals Rapid Identification and Classification of Listeria spp. and Serotype Assignment of Listeria monocytogenes Using Fourier Transform-Infrared Spectroscopy and Artificial Neural Network Analysis

PLoS ONE ◽  
2015 ◽  
Vol 10 (11) ◽  
pp. e0143425 ◽  
Author(s):  
K. F. Romanolo ◽  
L. Gorski ◽  
S. Wang ◽  
C. R. Lauzon
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Fourier Transform ◽  
Infrared Spectroscopy ◽  
Listeria Monocytogenes ◽  
Network Analysis ◽  
Rapid Identification ◽  
Neural Network Analysis ◽  
Artificial Neural Network Analysis

scholarly journals Differentiation of Listeria monocytogenes Serovars by Using Artificial Neural Network Analysis of Fourier-Transformed Infrared Spectra

2006 ◽  
Vol 73 (3) ◽  
pp. 1036-1040 ◽  
Author(s):  
Cecilia A. Rebuffo-Scheer ◽  
J�rgen Schmitt ◽  
Siegfried Scherer
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Listeria Monocytogenes ◽  
Network Analysis ◽  
External Validation ◽  
Reference Database ◽  
Neural Network Analysis ◽  
Artificial Neural Network Analysis ◽  
Artificial Neural ◽  
O Antigens

ABSTRACT A classification system based on Fourier transform infrared (FTIR) spectroscopy combined with artificial neural network analysis was designed to differentiate 12 serovars of Listeria monocytogenes using a reference database of 106 well-defined strains. External validation was performed using a test set of another 166 L. monocytogenes strains. The O antigens (serogroup) of 164 strains (98.8%) could be identified correctly, and H antigens were correctly determined in 152 (91.6%) of the test strains. Importantly, 40 out of 41 potentially epidemic serovar 4b strains were unambiguously identified. FTIR analysis is superior to PCR-based systems for serovar differentiation and has potential for the rapid, simultaneous identification of both species and serovar of an unknown Listeria isolate by simply measuring a whole-cell infrared spectrum.

1902: Is Steinstrasse After ESWL of Renal Stones Predictable? Artificial Neural Network Analysis

2004 ◽  
Vol 171 (4S) ◽  
pp. 502-503
Author(s):  
Mohamed A. Gomha ◽  
Khaled Z. Sheir ◽  
Saeed Showky ◽  
Khaled Madbouly ◽  
Emad Elsobky ◽  
...  
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Network Analysis ◽  
Renal Stones ◽  
Neural Network Analysis ◽  
Artificial Neural Network Analysis ◽  
Artificial Neural
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