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  4. Discrimination of microorganisms and cells in tissue engineering by Raman spectroscopy
 
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2009
Conference Paper
Title

Discrimination of microorganisms and cells in tissue engineering by Raman spectroscopy

Abstract
Sterility testing of cell or tissue cultures is an essential task in the fields of regenerative medicine and tissue engineering. Especially in case of Good manufacturing practice (GMP) of cell and tissue based transplants. We present a system based on a commercially available microscope equipped with a microfluidic cell that prepares the particles found in the solution for analysis. A Raman-spectrometer attachment optimized for non-destructive, rapid recording of Raman spectra, and a data acquisition and analysis tool for identification of the particles. Identification of critical particles like microorganisms via microscopic imaging and subsequent image analysis is carried out before micro-Raman analysis of those particles is then carried out with an excitation wavelength of 785 nm. Howev er an automated image analysis of small particles from supernatant of biopsies on a filter chip with tiny holes is a difficult task. Especially for the discrimination of small particles like cell debris and bacteria, which have a quite similar range of size. Because of that particles in the supernatant and microorganisms have to be discriminated by means of Raman spectroscopy. We present here a Raman based method to discriminate between cells, microorganisms and particles in cell culture.
Author(s)
Koch, S.
Dreiling, M.
Gutekunst, M.
Bolwien, C.  
Fraunhofer-Institut für Physikalische Messtechnik IPM  
Thielecke, H.
Mertsching, H.
Mainwork
Clinical and biomedical spectroscopy. Proceedings  
Conference
Conference "Clinical and Biomedical Spectroscopy" 2009  
European Conferences on Biomedical Optics (ECBO) 2009  
DOI
10.1117/12.831599
Language
English
Fraunhofer-Institut für Grenzflächen- und Bioverfahrenstechnik IGB  
Fraunhofer-Institut für Physikalische Messtechnik IPM  
Keyword(s)
  • Raman spectroscopy

  • small particle

  • image analysis

  • GMP

  • transplants

  • particle discrimination

  • tissue engineering

  • microfluids

  • sterility testing

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