Advertisement

The Abbott Laboratories ADC-500T.M.

  • J. E. Green

Abstract

The ADC-500T.M. is a second generation differential white cell counter manufactured by Abbott Laboratories which performs a 500-cell differential on both normal and immature white blood cells (leukocytes). It also performs an assessment of red blood cell morphology and estimates platelet sufficiency at a throughput rate of 40 to 50 samples/hr (20,000 to 25,000 cells/hr) in unattended operation. The system consists of (a) a slide spinner for producing a monolayer of blood cells incorporating diffraction pattern sensing to adjust spin time for varying blood viscosities, (b) a stainer/loader which applies stain to the blood film under carefully controlled conditions and which inserts the stained sample slide into a small plastic holder, (c) an encoder which applies a human and instrument readable identification number to each holder and (d) a real-time analyzer which evaluates the sample.

Keywords

White Cell Blood Film Analysis Window Image Element Color Algebra 
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.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Bacus, J. W., “Erythrocyte Morphology and Centrifugal’ spinner’ Blood Film Preparations,” J. Histochem. Cytochem. 22:506 (1974).CrossRefGoogle Scholar
  2. Bacus, J. W., “The Observer Error in Peripheral Blood Cell Classification,” Am. J. Clin. Path. 59:223 (1973).Google Scholar
  3. Bacus, J. W., Berlanger, M. G., Aggarwal, A. K., and Trobaugh, F. E., “Image Processing for Automated Erthrocyte Classification,” J. Histochem. Cytochem. 24:195 (1976).CrossRefGoogle Scholar
  4. Bacus, J.W., and Gose, E. E., “Leukocyte Pattern Recognition,” IEEE Trans. Sys. Man. Cyb. SMC 2:513 (1972).Google Scholar
  5. Bartels, P. H., and Wied, G. L., “Future Aspects of High Resolution Analysis of Cellular Images,” The Automation of Uterine Cancer Cytology (Wied, G. L., Bahr, G. F., and Bartels, P. H., eds.), Tutorials of Cytology, Chicago (1976).Google Scholar
  6. Cain, R. W., and Anderson, A. C., “Parametric and Non-Parametric Analysis for Leukocyte Classification,” Proc. IEEE Southeastcon 77, IEEE Catalogue No. 77 CH01233, 6:111 (1977)Google Scholar
  7. Green, J. E., Analysis Method and Apparatus Utilizing Color Algebra and Image Processing Techniques. U.S. Patent 3,851,156; Nov. 26, 1974.Google Scholar
  8. Green, J. E., Method and Apparatus for Dual Resolution Analysis of a Scene. U.S. Patent 3,970,841; Jul. 20, 1976A.Google Scholar
  9. Green, J. E., Method and Apparatus Utilizing Color Algebra for Analyzing Scene Regions. U.S. Patent 3, 999,047; Dec. 21, 1976BGoogle Scholar
  10. Green, J. E., Method and Apparatus for Dual Resolution Analysis of a Scene. U.S. Patent 4,061,914; Dec. 6, 1977.Google Scholar
  11. Green, J. E., Method and Apparatus for Producing a Suspension of Biological Cells On a Substrate. U.S. Patent 4,084,902; Apr. 18, 1978.Google Scholar
  12. Green, J. E., “A Practical Application of Computer Pattern Recognition Research. The Abbott ADC-500 Differential Classifier,” J. Histochem. Cytochem. 27:150 (1979A).Google Scholar
  13. Green, J. E., “Rapid Analysis of Hematology Image Data, The ADC-500 Preprocessor,” J. Histochem. Cytochem. 27:164 (1979B).Google Scholar
  14. Green, J. E., “Sample Preparation Variation and Its Effects on Automated Blood Cell Differential Analysis,” Anal. & Quant. Cytol. 1:187–201 (1979)Google Scholar
  15. Ingram, M., and Minter, F. M., “Semiautomatic Preparation of Coverglass Blood Smears Using a Centrifugal Device,” Am. J. Clin. Pathol. 51:214 (1969).Google Scholar
  16. Ingram, M., and Preston, K., Jr., “Automatic Analysis of Blood Cells,” Sci. Amer. 223(5): 72 (1970).CrossRefGoogle Scholar
  17. Kujoory, M. A., Mayall, B. H., and Mendelsohn, M. L., “Focus-Assist Device for a Flying-Spot Microscope,” IEEE Trans. Bio-Med. Eng. BME-20:126 (1973).CrossRefGoogle Scholar
  18. Megla, G. K., “The LARC Automatic White Blood Cell Analyzer,” Acta. Cytol. 17:3 (1973).Google Scholar
  19. Miller, M. N., “Design and Clinical Results of Hematrak R: An Automated Differential Counter,” IEEE Trans. Biomed. Eng. BME-23:400 (1975).CrossRefGoogle Scholar
  20. Preston, K., Jr., “Automation of the Analysis of Cell Images,” Anal. & Quant. Cytol. 2:1–14 (1980).Google Scholar
  21. Preston, K., Jr., Duff, M. J. B., Levialdi, S., Norgren, P. E., and Toriwaki, J-i., “Basics of Cellular Logic with Some Applications in Medical Image Processing,” Proc. IEEE 67(2): 826–856 (1979)CrossRefGoogle Scholar
  22. Preston, K., Jr., and Norgren, P. E., Method of Preparing Blood Smears. U.S. Patent 3,577,267; 1971Google Scholar
  23. Prewitt, J. M. S., “Parametric and Nonparametric Recognition by Computer: An Application to Leuk ocyte Image Processing,” Advances in Computers, New York, Academic Press (1972), Vol. 12, p. 285.Google Scholar
  24. Prewitt, J. M. S., and Mendelsohn, M. L., “The Analysis of Cell Images,” Ann. NY Acad. Sci. 128:1035 (1966).CrossRefGoogle Scholar
  25. Rumke, C. I., “Variability of Results in Differential Cell Counts on Blood Smears,” Triangle 1:154 (1973).Google Scholar
  26. Staunton, J. J., Clinical Spinner. U.S. Patent 3,705,048; 1972.Google Scholar
  27. Young, I. T., “The Classification of White Blood Cells,” IEEE Trans. Biomed. Eng. BME-19:291 (1972).CrossRefGoogle Scholar
  28. Young, I. T., and Paskowitz, I. L., “Localization of Cellular Structures,” IEEE Trans. Biomed. Eng. BME-22:35 (1975).CrossRefGoogle Scholar

Copyright information

© Plenum Press, New York 1980

Authors and Affiliations

  • J. E. Green
    • 1
  1. 1.Abbott LaboratoriesDallasUSA

Personalised recommendations