Literature DB >> 16421914

Identification of single eukaryotic cells with micro-Raman spectroscopy.

P Rösch1, M Harz, K-D Peschke, O Ronneberger, H Burkhardt, J Popp.   

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. (c) 2006 Wiley Periodicals, Inc.

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Year:  2006        PMID: 16421914     DOI: 10.1002/bip.20449

Source DB:  PubMed          Journal:  Biopolymers        ISSN: 0006-3525            Impact factor:   2.505


  5 in total

1.  Raman spectroscopy as a potential tool for detection of Brucella spp. in milk.

Authors:  Susann Meisel; Stephan Stöckel; Mandy Elschner; Falk Melzer; Petra Rösch; Jürgen Popp
Journal:  Appl Environ Microbiol       Date:  2012-06-01       Impact factor: 4.792

2.  Raman spectroscopy-compatible inactivation method for pathogenic endospores.

Authors:  S Stöckel; W Schumacher; S Meisel; M Elschner; P Rösch; J Popp
Journal:  Appl Environ Microbiol       Date:  2010-03-05       Impact factor: 4.792

3.  Decoding Optical Data with Machine Learning.

Authors:  Jie Fang; Anand Swain; Rohit Unni; Yuebing Zheng
Journal:  Laser Photon Rev       Date:  2020-12-23       Impact factor: 13.138

4.  Haralick texture feature analysis for quantifying radiation response heterogeneity in murine models observed using Raman spectroscopic mapping.

Authors:  Irene Vrbik; Samantha J Van Nest; Phiranuphon Meksiarun; Jason Loeppky; Alexandre Brolo; Julian J Lum; Andrew Jirasek
Journal:  PLoS One       Date:  2019-02-15       Impact factor: 3.240

Review 5.  Raman fingerprints as promising markers of cellular senescence and aging.

Authors:  Lisa Liendl; Johannes Grillari; Markus Schosserer
Journal:  Geroscience       Date:  2019-02-04       Impact factor: 7.713

  5 in total

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