Title :
Identification of single bacteria using micro Raman spectroscopy
Author :
de Biasio, M. ; McGunnigle, G. ; Leitner, R. ; Popp, Jurgen ; Rosch, P. ; Balthasar, D.
Author_Institution :
Mol. Imaging, Carinthian Tech Res. AG, Villach, Austria
Abstract :
We present Raman micro-spectroscopic measurements of Escherichia coli, Bacillus thuringiensis and Staphylococcus cohnii. Several authors have reported successful methods for classifying single bacteria using Raman micro-spectroscopy. The aim of this paper is to evaluate which features of the spectra are useful for the classification. PCA obtained the best performance with 3 PCs. We also tested classifiers based on two and three narrow band filters chosen by exhaustive search. These gave accuracy comparable or greater than that of the PCA based classifier.
Keywords :
Raman spectroscopy; biological techniques; microorganisms; pattern classification; Bacillus thuringiensis; Escherichia coli; Staphylococcus cohnii; bacteria classification; microRaman spectroscopy; single bacteria identification; Accuracy; Band-pass filters; Fingerprint recognition; Microorganisms; Principal component analysis; Smoothing methods; Support vector machines; Raman; bacteria; spectroscopy;
Conference_Titel :
Sensing Technology (ICST), 2013 Seventh International Conference on
Conference_Location :
Wellington
Print_ISBN :
978-1-4673-5220-8
DOI :
10.1109/ICSensT.2013.6727612