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Updated: May 2, 2026

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A Microfluidic Chip for the Versatile Chemical Analysis of Single Cells
Published on: October 15, 2013
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Microplate-based impedance and thermal sensing system for concurrent cell viability and counting analysis.
J Goossens1, G Oudebrouckx1, T Vandenryt1
1Institute for Materials Research (IMO), Hasselt University, Wetenschapspark 1, Diepenbeek, 3590, Limburg, Belgium; IMEC vzw, Division IMOMEC, Diepenbeek, 3590, Limburg, Belgium.
Talanta
|May 11, 2025
Summary
This study introduces a novel microplate platform for real-time, non-destructive cell counting and viability assessment. Combining thermal and impedance sensing, it offers a cost-effective alternative to traditional methods in bioprocessing and drug discovery.
Area of Science:
- Biotechnology and Biomedical Engineering
- Cell Biology and Analysis
- Biosensing Technologies
Background:
- Traditional cell count and viability assays are often destructive and provide only end-point data.
- Accurate, real-time monitoring of cell populations is crucial for optimizing bioprocesses and drug discovery.
- Existing methods lack the ability for continuous, non-destructive analysis in standard microplate formats.
Purpose of the Study:
- To develop and validate a novel multi-parameter sensing platform for concurrent, label-free measurement of cell count and viability.
- To integrate thermal and impedance sensing modalities for independent assessment of biomass and membrane integrity.
- To enable real-time, non-destructive monitoring of cell cultures in a microplate format.
Main Methods:
- Development of a microplate-based sensing platform integrating thermal and impedance sensing elements.
- Utilizing distinct sensitivities of thermal (biomass) and impedance (membrane integrity) sensing to cell parameters.
- Application of multivariate regression models for independent prediction of cell number and viability.
- Experimental validation using Saccharomyces cerevisiae cultures at varying concentrations and viability states.
Main Results:
- The platform successfully enabled concurrent, label-free analysis of cell count and viability.
- Multivariate regression models achieved root mean square errors of 0.106 ×107 cells and 19.67% viability.
- Prediction accuracy improved at higher cell concentrations, with viability error reduced to 5.02%.
- Demonstrated capability for real-time, non-destructive monitoring of cell cultures.
Conclusions:
- The integrated sensing platform offers a promising, cost-effective alternative to traditional destructive cell analysis methods.
- Real-time insights into cell population dynamics can significantly enhance bioprocess optimization, drug screening, and toxicity testing.
- The platform's compatibility with standard microplates facilitates seamless integration into existing laboratory workflows.

