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Identification of single eukaryotic cells with micro‐Raman spectroscopy
Author(s) -
Rösch P.,
Harz M.,
Peschke K.D.,
Ronneberger O.,
Burkhardt H.,
Popp J.
Publication year - 2006
Publication title -
biopolymers
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.556
H-Index - 125
eISSN - 1097-0282
pISSN - 0006-3525
DOI - 10.1002/bip.20449
Subject(s) - preprint , raman spectroscopy , yeast , identification (biology) , chemistry , spectral line , computational biology , nanotechnology , computer science , materials science , biochemistry , optics , physics , biology , botany , world wide web , astronomy
Abstract For a fast identification of eukaryotic cells such as yeast species without a cultivation step it should be possible to perform the investigation on only one single cell. Since yeasts as eukaryotes are heterogeneous and their Raman spectra are therefore dependent on the measuring position, one Raman spectra is not representative of the whole cell. In this contribution we demonstrate the application of average Raman spectra of a line scan over single yeast cells. These average spectra are used for classification with the help of a support vector machine. © 2006 Wiley Periodicals, Inc. Biopolymers 82:312–316, 2006 This article was originally published online as an accepted preprint. The “Published Online” date corresponds to the preprint version. You can request a copy of the preprint by emailing the Biopolymers editorial office at biopolymers@wiley.com