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

fYear

2013

fDate

3-5 Dec. 2013

Firstpage

34

Lastpage

39

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Sensing Technology (ICST), 2013 Seventh International Conference on

Conference_Location

Wellington

ISSN

2156-8065

Print_ISBN

978-1-4673-5220-8

Type

conf

DOI

10.1109/ICSensT.2013.6727612

Filename

6727612