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Updated: May 16, 2026
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Single-Cell Optical Action Potential Measurement in Human Induced Pluripotent Stem Cell-Derived Cardiomyocytes
Published on: December 22, 2020
Label-free electrophysiological cytometry for stem cell-derived cardiomyocyte clusters
Frank B Myers1, Christopher K Zarins, Oscar J Abilez
1Department of Bioengineering, University of California, Berkeley, CA 94720, USA.
Lab on a Chip
|December 5, 2012
Summary
A novel label-free cell cytometry method uses electrophysiology to identify specific stem cell types. This technique distinguishes cardiomyocytes from other cells without genetic modification or labeling, advancing regenerative medicine research.
Area of Science:
- Regenerative Medicine
- Biotechnology
- Cell Biology
Background:
- Stem cell therapies offer potential for tissue repair but face challenges in isolating specific cell types.
- Current methods like flow cytometry require cell labeling, which can be costly and impact cell function.
Purpose of the Study:
- To develop a non-genetic, label-free cell cytometry method for identifying specific cell phenotypes from heterogeneous stem cell populations.
- To assess the functionality of cells based on their electrophysiological response rather than surface markers.
Main Methods:
- A microfluidic device with integrated electrodes was used for electrical stimulation and recording of extracellular field potentials (FPs) from suspended cells.
- Hydrodynamic flow focusing was employed for self-alignment of cells to recording electrodes.
- Automated analysis of FP signals was performed to distinguish cell types.
Main Results:
- The label-free cytometer successfully distinguished human induced pluripotent stem cells (iPSCs) from iPSC-derived cardiomyocyte (iPSC-CM) clusters.
- The system demonstrated sensitive detection of FPs with a low noise floor (2 μV(rms)).
- Cardiomyocytes were accurately differentiated from non-cardiomyocytes based on their electrophysiological signals.
Conclusions:
- This novel electrophysiological cell cytometry approach provides a label-free and non-genetic method for cell identification.
- The technology is suitable for identifying electrically-excitable cells relevant to regenerative medicine.
- This method offers a promising alternative to conventional cell sorting techniques, reducing risks and costs associated with labeling or genetic modification.
