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Automation: image analysis and pattern recognition

  • J. James
  • H. J. Tanke

Abstract

The instrumentation for quantitative analysis of microscopic images has been discussed in the previous chapter. Quantitative analysis may vary from a relatively simple length measurement to a more complex determination of the enzyme or DNA content of a cytochemically stained cell. Recent progress in the field of computer technology has made available inexpensive personal computers (PC) that can be used for the processing and analysis of microscopic images. The microscope is for that purpose equipped with a camera and a frame grabber, by which the images are stored directly in the PC memory and are thus available for analysis. A PC of a few thousand dollars is able to accomplish advanced image processing and analysis. Moreover, it can be expected that micro-electronics will also soon be incorporated as standard in many microscopes, especially in those used for research applications, thereby offering a high degree of flexibility and “user-friendliness”.

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Recommended further reading

  1. Bacus JW, Cose EE (1972): Leucocyte pattern recognition. IEEE Trans Syst Man Cyber 2: 513–526.CrossRefGoogle Scholar
  2. Castleman KR (1979): Digital Image Processing. Englewood Cliffs, New Jersey: Prentice-Hall. Gelsema ES, Kanal LN (1980): Pattern Recognition in Practice. Amsterdam: North Holland Publishing Company.Google Scholar
  3. Inoue S (1986): Video Microscopy. New York: Plenum Press.Google Scholar
  4. Preston K (1978): Biomedical image processing. In: Stucki P (ed), International Symposium on Advances in Digital Image Processing: Theory, Application, Implementation, pp. 125–146. New York: Plenum Press.Google Scholar

Copyright information

© Springer Science+Business Media Dordrecht 1991

Authors and Affiliations

  • J. James
    • 1
  • H. J. Tanke
    • 2
  1. 1.Faculty of MedicineUniversity of AmsterdamAmsterdamThe Netherlands
  2. 2.Faculty of MedicineUniversity of LeidenLeidenThe Netherlands

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