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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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Mechano-Node-Pore Sensing: A Rapid, Label-Free Platform for Multi-Parameter Single-Cell Viscoelastic Measurements
Andre Lai1, Rachel Rex2, Kristen L Cotner1
1Graduate Program in Bioengineering, University of California, Berkeley and University of California, San Francisco.
Journal of Visualized Experiments : Jove
|December 19, 2022
Summary
Mechano-node-pore sensing (mechano-NPS) offers a flexible, label-free method for measuring multi-parameter cellular viscoelasticity. This microfluidic platform provides a more complete mechanical cell profile with moderate throughput, aiding biological and diagnostic applications.
Area of Science:
- Biophysics
- Cell Biology
- Microfluidics
Background:
- Cellular mechanical properties influence diverse biological processes and diseases.
- Conventional methods (AFM, MA) offer rich data but low throughput.
- High-throughput methods (RT-DC) provide limited mechanical insights.
Purpose of the Study:
- To introduce mechano-node-pore sensing (mechano-NPS) as a microfluidic platform.
- To bridge the gap between low-throughput, high-information methods and high-throughput, low-information methods.
- To enable multi-parameter viscoelastic measurements of cells at moderate throughput.
Main Methods:
- Utilizes a direct current (DC) measurement in a microfluidic channel.
- Monitors cell size and velocity during transit through a narrow constriction.
- Quantifies transverse deformation, resistance, and recovery from deformation.
Main Results:
- Provides multi-parameter viscoelastic cell properties for a comprehensive mechanical state assessment.
- Offers a flexible, label-free, and electronics-based microfluidic sensing approach.
- Demonstrates simple implementation, minimal sample preparation, and adaptability.
Conclusions:
- Mechano-NPS offers a versatile and accessible platform for detailed cellular mechanical analysis.
- The platform provides unique mechanical information for diverse cell types.
- Has potential applications in basic science research and clinical diagnostics.

