Deformability analysis of sickle blood using ektacytometry

Miklos Rabai, Jon A. Detterich, Rosalinda B. Wenby, Tatiana M. Hernandez, K. Tóth, Herbert J. Meiselman, John C. Wood

Research output: Contribution to journalArticle

17 Citations (Scopus)

Abstract

Sickle cell disease (SCD) is characterized by decreased erythrocyte deformability, microvessel occlusion and severe painful infarctions of different organs. Ektacytometry of SCD red blood cells (RBC) is made difficult by the presence of rigid, poorly-deformable irreversibly sickled cells (ISC) that do not align with the fluid shear field and distort the elliptical diffraction pattern seen with normal RBC. In operation, the computer software fits an outline to the diffraction pattern, then reports an elongation index (EI) at each shear stress based on the length and width of the fitted ellipse: EI=(length-width)/(length+width). Using a commercial ektacytometer (LORCA, Mechatronics Instruments, The Netherlands) we have approached the problem of ellipse fitting in two ways: (1) altering the height of the diffraction image on a computer monitor using an aperture within the camera lens; (2) altering the light intensity level (gray level) used by the software to fit the image to an elliptical shape. Neither of these methods affected deformability results (elongation index-shear stress relations) for normal RBC but did markedly affect results for SCD erythrocytes: (1) decreasing image height by 15% and 30% increased EI at moderate to high stresses; (2) progressively increasing the light level increased EI over a wide range of stresses. Fitting data obtained at different image heights using the Lineweaver-Burke routine yielded percentage ISC results in good agreement with microscopic cell counting. We suggest that these two relatively simple approaches allow minimizing artifacts due to the presence of rigid discs or ISC and also suggest the need for additional studies to evaluate the physiological relevance of deformability data obtained via these methods.

Original languageEnglish
Pages (from-to)159-170
Number of pages12
JournalBiorheology
Volume51
Issue number2-3
DOIs
Publication statusPublished - 2014

Fingerprint

Sickle Cell Anemia
Erythrocytes
Software
Erythrocyte Deformability
Light
Microvessels
Netherlands
Artifacts
Infarction
Lenses

Keywords

  • diffraction pattern
  • irreversible sickled cells
  • Laser diffraction ellipsometry
  • sickle cell disease
  • sickle erythrocytes

ASJC Scopus subject areas

  • Physiology (medical)
  • Physiology
  • Medicine(all)

Cite this

Rabai, M., Detterich, J. A., Wenby, R. B., Hernandez, T. M., Tóth, K., Meiselman, H. J., & Wood, J. C. (2014). Deformability analysis of sickle blood using ektacytometry. Biorheology, 51(2-3), 159-170. https://doi.org/10.3233/BIR-140660

Deformability analysis of sickle blood using ektacytometry. / Rabai, Miklos; Detterich, Jon A.; Wenby, Rosalinda B.; Hernandez, Tatiana M.; Tóth, K.; Meiselman, Herbert J.; Wood, John C.

In: Biorheology, Vol. 51, No. 2-3, 2014, p. 159-170.

Research output: Contribution to journalArticle

Rabai, M, Detterich, JA, Wenby, RB, Hernandez, TM, Tóth, K, Meiselman, HJ & Wood, JC 2014, 'Deformability analysis of sickle blood using ektacytometry', Biorheology, vol. 51, no. 2-3, pp. 159-170. https://doi.org/10.3233/BIR-140660
Rabai M, Detterich JA, Wenby RB, Hernandez TM, Tóth K, Meiselman HJ et al. Deformability analysis of sickle blood using ektacytometry. Biorheology. 2014;51(2-3):159-170. https://doi.org/10.3233/BIR-140660
Rabai, Miklos ; Detterich, Jon A. ; Wenby, Rosalinda B. ; Hernandez, Tatiana M. ; Tóth, K. ; Meiselman, Herbert J. ; Wood, John C. / Deformability analysis of sickle blood using ektacytometry. In: Biorheology. 2014 ; Vol. 51, No. 2-3. pp. 159-170.
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