Skip to main content

Characterizing Blood Cells by Biophysical Measurements in Flow

  • Conference paper
Automation in Hematology
  • 59 Accesses

Abstract

One effect of automation in the hematology laboratory has been to introduce new characterizations of blood cells. Resistive pulse sensing (Coulter) and light scatter measurements in flow provide rapid and reproducible cell counts. They also provide information about red cell size, shape, and deformability. Thus, they have provided new characterization of these cells in terms of their biophysical properties. Leukocytes have been classified by optical scatter and absorption measurements in flow after being stained cytochemically. This provides rapid and precise WBC differential counts. However, here again, additional information about relative cell-enzyme content or activity is also accessible to provide a new characterization of the leukocytes. The ultimate range of utility of this expanding technology in the automated hematology laboratory of the future will, of course, depend upon establishing relations between the biophysical parameters and the functions of the cells. This, in turn, must depend upon the use of the technology by researchers and clinicians in studying cell function and the aberrations of these functions which define disease.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. BESSMAN, J. D.: Erythropoiesis during recovery from iron deficiency: Normocytes and macrocytes. Blood 50, 987, 1977

    CAS  PubMed  Google Scholar 

  2. BESSMAN, J. D., FEINSTEIN, D. I.: Quantitative anisocytosis as a discriminant between iron deficiency and thalassemia minor. Blood 53, 288–293 1979

    CAS  PubMed  Google Scholar 

  3. BESSIS, M., MEL, H.: Hematology without the microscope. Blood Cells 1, 401–403, 1975

    Google Scholar 

  4. BESSIS, M., MOHANDAS, N.: A diffractometric method for the measurement of cellular deformability. Blood Cells 1, 307–313, 1975

    Google Scholar 

  5. BØYUM, A.: Isolation of mononuclear cells and granulocytes from human blood. Scand. J. Clin. Lab. Invest. 21 [Suppl. 97], 77, 1968

    Google Scholar 

  6. COOKE, W. E.: Clinical Interpretation of Aids to Diagnosis. London, The Lancet J. 1930, p. 81

    Google Scholar 

  7. DAVE, J. V.: Subroutines for computing the parameters of electro-magnetic radiation scattered by a sphere. IBM Palo Alto Scientific Center Report No. 320–327, May 1968

    Google Scholar 

  8. EINSTEIN, A.: J. Ann. Physik 33, 1275, 1910

    Article  CAS  Google Scholar 

  9. KERKER, M.: The Scattering of Light and Other Electromagnetic Radiation. New York, Academic 1969

    Google Scholar 

  10. KUBITSCHEK, H. E.: Electronic measurement of particle size. Res. Appl. Ind. 13, 1960

    Google Scholar 

  11. LEWIS, S. M., BENTLEY, S. A.: Haemocytometry by laser-beam optics: Evaluation of the Hemac 630L. J. Clin. Pathol. 30, 54, 1977

    Article  CAS  PubMed  Google Scholar 

  12. MAXWELL, J. C.: A Treatise on Electricity and Magnetism, Vol. I, 3rd edn. Oxford, Clarendon, 1904, p. 440

    Google Scholar 

  13. MEL, H. C., YEE, J. P.: Erythrocyte size and deformability studies by resistive pulse spectroscopy. Blood Cells 1, 391–399, 1975

    Google Scholar 

  14. O’BRIEN, R., CARDENOSA, G., SAMBUCETTI, L., PODOLAK, P.: Spectral characteristics of human leukocytes and their relevance to automated cell identification, III. Eosinophils, neutrophils and lymphocytes. Acta Cytol. 23, 231–236, 1979

    PubMed  Google Scholar 

  15. ORNSTEIN, L., ANSLEY, H., SAUNDERS, A.: Improving manual differential white cell counts with cytochemistry. Blood Cells 2, 557–585, 1976

    Google Scholar 

  16. PANGLAIS, G. A., WALDMAN, S. R., RAPPAPORT, H.: Cytochemical Findings in Human Nonneoplastic Blood and Tonsillar B and T Lymphocytes. Dept. Anatomic Pathology, City of Hope, Natl. Med. Center, Duarte, CA, 1977

    Google Scholar 

  17. PIERRE, R. V., O’SULLIVAN, M. B.: Evaluation of the Hemalog D automated differential counter. Mayo Clin. Proc. 49, 870, 1974

    CAS  PubMed  Google Scholar 

  18. PONDER, E.: Hemolysis and Related Phenomena. New York, Grune and Stratton, 1948

    Google Scholar 

  19. SCHILLING, V.: The Blood Picture (Translation). St. Louis, C.V. Mosby, 1929

    Google Scholar 

  20. SIMMONS, A., LEAVERTON, P., ELBERT, G.: Normal laboratory values for differential white cell counts established by manual and automated cytochemical methods (Hemalog D™). J. Clin. Pathol. 27, 55–58, 1974

    Article  CAS  PubMed  Google Scholar 

  21. STENGLE, J.M., STRUMA, M.M., LIDDY, T.J., BRECHER, G.: Mean corpuscular haemoglobin concentration and mean corpuscular volume as biologic constants. In: DE BOROVICZENY, C.G., ed., Standardization, Documentation and Normal Values in Hematology. Bibl. Haematol. (Basel) 21, 4, 1965

    Google Scholar 

  22. KOERPER, M.A., MENTZER, W.C., BRECHER, G., DALLMAN, P.R. : Developmental changes in the red blood cell volume. Implications for screening infants and children for iron deficiency and thalassemia trait. J. Pediatr. 80, 580, 1976

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1981 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Groner, W., Tycko, D. (1981). Characterizing Blood Cells by Biophysical Measurements in Flow. In: Ross, D.W., Brecher, G., Bessis, M. (eds) Automation in Hematology. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-67756-4_5

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-67756-4_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-10225-0

  • Online ISBN: 978-3-642-67756-4

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics