In Situ Detection and Identification of Microorganisms at Single Colony Resolution Using Spectral Imaging Technique

  • Kanae Miyazawa
  • Ken-ichi Kobayashi
  • Shigeki Nakauchi
  • Akira Hiraishi
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3540)


In situ detection and identification of microorganisms in the environment are important in general microbial ecology. Also the rapid inspection of microbial contamination at food processing plant is urgent task. We propose a method of detecting and identifying microorganisms for rapid inspection using spectral imaging technique. Spectral images of photosynthetic and non-photosynthetic bacterial colonies having different absorption spectra in near infrared wavelength region were measured directly from Petri dish. Bacterial region in the images was first detected and then identified using multiple discriminant analysis. Detection and identification errors for various sized colonies were analyzed. As the result, colonies with diameters of 100 and 300 μm were detected and identified with sufficient accuracy, respectively. This means the time for detection and identification can be shorten less than a half and about several weeks compared with the conventional methods.


Spectral Imaging Colony Size Absorption Image Rhodopseudomonas Palustris Multiple Discriminant Analysis 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


  1. 1.
    Griffiths, M.W.: Rapid microbiological methods with hazard analysis critical control point. J AOAC Int. 80(6), 1143–1150 (1997)Google Scholar
  2. 2.
    George, T.C., Basiji, D.A., Hall, B.E., Lynch, D.H., Ortyn, W.E., Perry, D.J., Seo, M.J., Zimmerman, C.A., Morrissey, P.J.: Distinguishing modes of cell death using the ImageStream multispectral imaging flow cytometer. Cytometry Part A 59A, 237–245 (2004)CrossRefGoogle Scholar
  3. 3.
    Fu, Z., Rogelj, S., Kieft, T.L.: Rapid detection of Escherichia coli O157:H7 by immunomagnetic separation and real-time PCR. Int J Food Microbiol 99(1), 47–57 (2005)CrossRefGoogle Scholar
  4. 4.
    Sugiura, M., Takano, M., Kawakami, S., Toda, K., Hanada, S.: Application of a Portable Spectrophotometer to Microbial Mat Studies. Microbes and Environments 16(4), 255–261 (2001)CrossRefGoogle Scholar
  5. 5.
    Zimmerman, T., Pietodorf, J., Pepperkok, R.: Spectral imaging and its applications in live cell microscopy. FEBS Letters 546, 87–92 (2003)CrossRefGoogle Scholar
  6. 6.
    Sunamura, M., Maruyama, A., Tsuji, T., Kurane, R.: Spectral imaging detection and counting of microbial cells in marine sediment. J. of Microbiological methods 53, 57–65 (2003)CrossRefGoogle Scholar
  7. 7.
    Arkin, A.P., Goldman, E.R., Robes, S.J., Goddard, C.A., Coleman, W.J., Yang, M.M., Youvan, D.C.: Applications of imaging spectroscopy in molecular biology II. Colony screening based on absorption spectra, Bio/Technology 8, 746–749 (1990)Google Scholar
  8. 8.
    Youvan, D.C.: Imaging sequence space. Nature 369, 79–80 (1994)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Kanae Miyazawa
    • 1
  • Ken-ichi Kobayashi
    • 1
  • Shigeki Nakauchi
    • 1
  • Akira Hiraishi
    • 2
  1. 1.Department of Information and Computer SciencesToyohashi University of TechnologyToyohashi, AichiJapan
  2. 2.Department of Ecological EngineeringToyohashi University of TechnologyToyohashi, AichiJapan

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