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Deformability analysis of sickle blood using ektacytometry.
Biorheology. 2014; 51(2-3):159-70.B

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.

Authors+Show Affiliations

1st Department of Medicine, School of Medicine, University of Pecs, Pecs, Hungary Department of Pediatrics, Children's Hospital Los Angeles, Los Angeles, CA, USA Department of Physiology and Biophysics, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.Department of Pediatrics, Children's Hospital Los Angeles, Los Angeles, CA, USA Department of Physiology and Biophysics, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.Department of Physiology and Biophysics, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.Department of Pediatrics, Children's Hospital Los Angeles, Los Angeles, CA, USA.1st Department of Medicine, School of Medicine, University of Pecs, Pecs, Hungary.Department of Physiology and Biophysics, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.Department of Pediatrics, Children's Hospital Los Angeles, Los Angeles, CA, USA.

Pub Type(s)

Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

24898336

Citation

Rabai, Miklos, et al. "Deformability Analysis of Sickle Blood Using Ektacytometry." Biorheology, vol. 51, no. 2-3, 2014, pp. 159-70.
Rabai M, Detterich JA, Wenby RB, et al. Deformability analysis of sickle blood using ektacytometry. Biorheology. 2014;51(2-3):159-70.
Rabai, M., Detterich, J. A., Wenby, R. B., Hernandez, T. M., Toth, K., Meiselman, H. J., & Wood, J. C. (2014). Deformability analysis of sickle blood using ektacytometry. Biorheology, 51(2-3), 159-70. https://doi.org/10.3233/BIR-140660
Rabai M, et al. Deformability Analysis of Sickle Blood Using Ektacytometry. Biorheology. 2014;51(2-3):159-70. PubMed PMID: 24898336.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Deformability analysis of sickle blood using ektacytometry. AU - Rabai,Miklos, AU - Detterich,Jon A, AU - Wenby,Rosalinda B, AU - Hernandez,Tatiana M, AU - Toth,Kalman, AU - Meiselman,Herbert J, AU - Wood,John C, PY - 2014/6/6/entrez PY - 2014/6/6/pubmed PY - 2015/3/3/medline KW - Laser diffraction ellipsometry KW - diffraction pattern KW - irreversible sickled cells KW - sickle cell disease KW - sickle erythrocytes SP - 159 EP - 70 JF - Biorheology JO - Biorheology VL - 51 IS - 2-3 N2 - 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. SN - 1878-5034 UR - https://www.unboundmedicine.com/medline/citation/24898336/Deformability_analysis_of_sickle_blood_using_ektacytometry_ DB - PRIME DP - Unbound Medicine ER -