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Flow Cytometry

Flow Cytometry

The development of flow cytometry techniques began in 1934 with initial attempts by Andrew Moldavan, a bacteriologist who counted the cells in a flowing capillary system. Moldavan pumped cells through a capillary tube focused under a microscope for visualization. The invention of photometry allowed the measurement of differentially-stained cells, and Louis Kamentsky developed the first multiparameter flow cytometer in 1965 to identify and count the cancer cells in cervical tissue specimens.
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Updated: Jun 4, 2026

Measuring Deformability and Red Cell Heterogeneity in Blood by Ektacytometry

Measuring Deformability and Red Cell Heterogeneity in Blood by Ektacytometry

Published on: January 12, 2018

Reviewing data reduction methods for ektacytometry.

P Kenyeres¹, M Rabai, A Toth

¹First Department of Medicine, University of Pecs Medical School, Hungary.

Clinical Hemorheology and Microcirculation

|February 23, 2011

Summary

This summary is machine-generated.

Ektacytometry data reduction methods require careful selection. The Lineweaver-Burke and Streekstra-Bronkhorst methods have limitations affecting erythrocyte deformability measurements, impacting clinical interpretation.

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Area of Science:

Biophysics
Hematology

Background:

Ektacytometry measures erythrocyte deformability under shear stress.
Data reduction methods are crucial for interpreting complex shear stress-elongation index plots.
Accurate characterization is essential for clinical applications.

Purpose of the Study:

To review and evaluate two common curve fitting formulas for ektacytometry data reduction.
To identify limitations and potential inaccuracies of these methods.

Main Methods:

Analysis of Lineweaver-Burke and Streekstra-Bronkhorst methods for fitting shear stress-elongation index data.
Evaluation of parameter accuracy, reproducibility, and limitations under various conditions.

Main Results:

Lineweaver-Burke method overestimates maximal deformability at low shear stresses (<1 Pa).
A modified Lineweaver-Burke formula improves accuracy but downweights low shear stress data.
Neither method is accurate with negative elongation indices (high-to-low shear artifacts).
Streekstra-Bronkhorst method offers efficient reduction but has an incorrect theoretical basis, underestimating deformations and showing bias.

Conclusions:

Both reviewed methods present significant limitations for accurate erythrocyte deformability assessment.
Careful consideration of method choice and potential artifacts is necessary for reliable clinical interpretation of ektacytometry data.