The Application of Computerized High Resolution Scanning Techniques to the Identification of Human Cells and Tissues

  • Leopold G. Koss
Part of the Lecture Notes in Medical Informatics book series (LNMED, volume 17)


The purpose of this paper is to summarize the basic information on cell morphology useful in the microscopic diagnosis of human disease with special emphasis on morphologic identification of cancer cells. The rationale for computerized analysis of digitized cell images and the principal targets of this approach, namely, cytology of the uterine cervix, urine and sputum have been discussed. The technical and legal problems of sample preparation and the problems of sample interpretation have been outlined. A summary of present and future research trends concludes this paper.


Uterine Cervix Urothelial Cell Peripheral Blood Smear Urinary Sediment Cervical Smear 
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.


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  1. L.G. Koss, Diagnostic Cytology and Its Histopathologic Bases, 3rd ed Lippincott, Philadelphia, 1979.Google Scholar
  2. 2.
    P. Broca, Traite’ des Tumeurs P. Asselin, Paris, 1866.Google Scholar
  3. 3.
    M.L. Mendelsohn (Ed.), “Automation of Cytogenetics.” Asilomar Workshop Pacific Grove, California, 1976; sponsored by Div. Biomed Environ. Res., U.S. Energy Res. and Develop. Admin.Google Scholar
  4. 4.
    J.J. Sychra, P.H. Bartels, M. Bibbo, J. Taylor, and G.L. Wied, Computer recognition of binucleation with overlapping in epithelial cells, Acta Cytol 22: 1978, pp. 22–28.Google Scholar
  5. 5.
    J.S. Mead, P.K. Horan, and L.L. Wheeless, Syringing as a method of cell dispersal. I. Effect on intermediate and superficial squamous cells, Acta Cytol. 22: 1978, pp. 86–90.Google Scholar
  6. 6.
    R.C. Wolley, F. Herz, H.M. Dembitzer, K. Schreiber, and L.G. Koss, The mono-disperse cervical smear. Quantitative analysis of cell dispersion and loss with enzymatic and chemical agents. Analyt Quant. Cytol. 1: 1979, pp.43-49.Google Scholar
  7. 7.
    J. Zante, J. Schumann, B. Barlogie, W. Goehde, Th. Buchner,!New preparing and staining procedures for specific and rapid analysis of T)NA distributions.“ In Pulse Cytophotometry, II Goehde, W. et al. (eds.) European Press Medikon, Ghent, 1976, pp. 97–1060.Google Scholar
  8. 8.
    B. Tribukait, H. Gustafson, and P. Esposti, Ploidy and proliferation in human bladder tumors as measured by flow-cytofluorometric DNA-analysis and its relations to histopathology and cytology, Cancer 43: 1979, pp. 1742–1751.Google Scholar
  9. 9.
    G.F. Bahr, M. Bibbo, M. Oehme, J.H. Puls, F.R. Reale, and G.L. Wied, An automated device for the production of cell preparations suitable for automatic assessment, Acta Cytol 22: 1978, pp. 243–249.Google Scholar
  10. 10.
    P.H. Bartels, G.F. Bahr, M. Bibbo, D.L. Richards, M.G. Sonek, and G.L. Wied, Analysis of variance of the Papanicolaou staining reaction. Acta Cytol. 18: 1974, 522–531.Google Scholar
  11. 11.
    G.F. Bahr, P.H. Bartels, G.L. Wied, and L.G. Koss, ‘Automated Cytology’ in L.G. Koss: Diagnostic Cytology and Its Histopathologic Bases, 3rd ed. Lippincott, Philadelphia, 1979.Google Scholar
  12. 12.
    W. Goehde, J. Schumann, T. Buchner, F. Otto, and B. Barlogie, “Pulse cytophotometry: Application in tumor cell biology and clinical oncology.” In Flow Cytometry and Sorting (Melamed, M.R., Mullaney, P.F., Mendelsohn, M.L., eds.) John Wiley & Sons, New York, 1979, pp. 599-620.Google Scholar
  13. 13.
    P.H. Bartels, L.G. Koss, and G.L. Wied, “Cytology automation by computerized high resolution scanning.” Advances in Clinical Cytology Butterworths, London and Boston, 1980 (in print).Google Scholar
  14. 14.
    J. Taylor, P.H. Bartels, M. Bibbo, G.L. Wied, Automated hierarchic decision structures for multiple category cell classification by TICAS. Acta Cytol. 22: 1978, pp. 261–267. Google Scholar
  15. 15.
    P.H. Bartels, L.G. Koss, J.J. Sychra, and G.L. Wied, Indices of cell atypia in urinary tract cytology, Acta Cytol. 22: 1978, pp. 387–391.Google Scholar
  16. 16.
    P.H. Bartels,’statistical sampling requirements,“ in The Automation of Uterine Cancer Cytology (Wied, G.L., Bahr, G.F., and Bartels, P.H., eds.) Tutorials of Cytology, Chicago, 1976, pp. 268–288.Google Scholar
  17. 17.
    N.J. Pressman and G.L. Wied, eds., “The Automation of cancer cytology and cell image analysis” Chicago, Tutorials of Cytology 1979.Google Scholar
  18. 18.
    L.G. Koss, Mapping of the urinary bladder: its impact on the concepts of bladder cancer, Human Pathol. 10: 1979, pp. 533-548.Google Scholar
  19. 19.
    L.G. Koss, P.H. Bartels, Urinary cytology. Device capabilities and requirements, Analyt. Quant. Cytol. 2: 1980, pp. 59–65.Google Scholar
  20. 20.
    L.G. Koss, A. Sherman, P.H. Bartels, J.J. Sychra, and G.L. Wied, Hierarchic classification of multiple types of urothelial cells by computer (in preparation).Google Scholar
  21. 21.
    L.G. Koss, P.H. Bartels, J.J. Sychra, and G.L. Wied, Diagnostic cytologic sample profiles in patients with bladder cancer using TICAS system. Acta Cytol 22: 1978, pp. 392–397.Google Scholar
  22. 22.
    J.K. Frost, H.W. Tyrer, N.J. Pressman, C.D. Albright, M.H. Vansickel, G.W. Gill, Automatic cell identification and enrichment in lung cancer: I. Light scatter and fluorescence parameters, J. Histochem. Cytochem., 27:1979, pp. 545–551.Google Scholar
  23. 23.
    E. Jahoda, P.H. Bartels, M. Bibbo, G.F. Bahr, J.H. Holzner, and G.L. Wied, Computer discrimination of cells in serous effusions. I. Pleural fluids. II. Peritoneal fluid. Acta Cytol. 17: 1973, 94-105 and 533–537.Google Scholar
  24. 24.
    P.H. Bartels, G.B. Olson, J.M. Layton, R.E. Anderson, and G.L. Wied, Computer discrimination of T and B lymphocytes. Acta Cytol. 12: 1975, pp. 53–57.Google Scholar
  25. 25.
    P.H. Bartels, Y-P. Chen, B.G.M. Durie, G.B. Olson, L. Vaught, S.E. Salmon, Discrimination between human T and B lymphocytes by computer analysis of digitized data from scanning microphotometry. II. Discrimination and automated classification. Acta Cytol. 22: 1978, pp. 530–537.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1982

Authors and Affiliations

  • Leopold G. Koss
    • 1
  1. 1.Department of Pathology, Montefiore Hospital and Medical CenterAlbert Einstein College of MedicineBronxUSA

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