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  • Mustererkennung DAGM-Symposium Bonn, – September - Google Books
  • Mustererkennung und Bioinformatik
  • Martin Luther University Halle-Wittenberg
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By applying UV-resonance Raman spectroscopy, direct investigation of macromolecules such as proteins or DNA becomes possible. However, this Raman technique involves extensive experimental costs and extremely careful sample bildverarbeitung mustererkennung 47813182628 - 30383958 InPuppels et al.

Since then, many biological phenomena in single human cells have been bildverarbeitung mustererkennung by Puppel's group; e.

Various groups have reported the classification of bacteria by means of Raman spectroscopy 311121727bildverarbeitung mustererkennung - 34 Very recently, Maquelin et al.

Other papers have reported Raman and SERS investigations of single yeast cells, bacteria, or spores 1102160 - Various investigations of cell components of single bacteria or spores by means of Raman spectroscopy have also been reported 1620224050 In this paper we describe, to the best of our knowledge for the first time, a fast, nondestructive, and very reliable approach to the identification of bildverarbeitung mustererkennung on a single-microparticle level by means of a combination of a micro-Raman analysis together with a data classification approach, the so-called support vector machine SVM technique.

As excitation wavelengths, the nm line of a frequency-doubled Nd: The Raman-scattered light was detected by a charge-coupled-device camera operating at K. An integration time of 60 s was used both for the bulk and bildverarbeitung mustererkennung spectra.

BILDVERARBEITUNG MUSTERERKENNUNG EBOOK DOWNLOAD

The z displacement was controlled by a piezo-transducer on the objective. Bacteria and growth conditions. The microorganisms bildverarbeitung mustererkennung chosen according to the conditions present in clean rooms. They were cultivated on a standard or nutrition bildverarbeitung mustererkennung Micrococcus and Bacillus or on caseine-peptone soymeal-peptone agar Staphylococcus for different growing conditions, such as growing time and temperature, respectively.

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