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Mechano-Node-Pore Sensing: A Rapid, Label-Free Platform for Multi-Parameter Single-Cell Viscoelastic Measurements
Published on: December 2, 2022
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Viscoelasticity as a biomarker for high-throughput flow cytometry.
Tobias Sawetzki1, Charles D Eggleton, Sanjay A Desai
1Department of Chemical and Biological Engineering, Colorado School of Mines, Golden, Colorado.
Biophysical Journal
|November 26, 2013
Summary
High-frequency measurements of cell viscoelasticity reveal malaria infection. Inelastic cell responses, not elastic ones, reliably indicate Plasmodium falciparum infection in erythrocytes at rapid assay timescales.
Area of Science:
- Biophysics
- Cellular Mechanics
- Infectious Disease Diagnostics
Background:
- Cell mechanical properties are label-free markers for cell health.
- Low measurement throughput limits their clinical application.
- Rapid cell analysis is hindered by slow cell stress relaxation times.
Purpose of the Study:
- To develop high-throughput, label-free methods for assessing cell mechanics.
- To investigate cell viscoelastic properties at high frequencies for phenotype identification.
- To establish dynamic viscoelasticity as a basis for rapid cell classification.
Main Methods:
- Measuring erythrocyte mechanical properties at frequencies exceeding cell relaxation times.
- Analyzing both elastic and inelastic responses of infected and uninfected cells.
- Utilizing dynamic viscoelasticity for high-frequency cell analysis.
Main Results:
- Elastic response alone did not detect malaria (Plasmodium falciparum infection) at high frequencies.
- Inelastic cell responses showed significant changes at rapid assay timescales.
- Dynamic viscoelasticity reliably indicated infection, distinguishing infected from uninfected erythrocytes.
Conclusions:
- High-frequency dynamic viscoelasticity can overcome the speed limitations of traditional mechanical property measurements.
- Inelastic cell responses at rapid timescales serve as a reliable indicator of malaria infection.
- This approach offers a nondestructive, high-throughput method for cell classification, analogous to current sorting techniques.

