ArticleLab on a chip2013
Label-free electrophysiological cytometry for stem cell-derived cardiomyocyte clusters.
Article in Lab on a chip, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 citing papers in PubMed.
- Microfluidic platforms for monitoring cardiomyocyte electromechanical activity.Microsystems & nanoengineering · 2025Review
- Enabling single cell electrical stimulation and response recording via a microfluidic platform.Biomicrofluidics · 2019Article
- Biomimetic cardiovascular platforms for in vitro disease modeling and therapeutic validation.Biomaterials · 2019Review
- Current Strategies and Challenges for Purification of Cardiomyocytes Derived from Human Pluripotent Stem Cells.Theranostics · 2017Review
- Dynamic monitoring of single cell lysis in an impedance-based microfluidic device.Biomedical microdevices · 2016Article
- Single cell studies of mouse embryonic stem cell (mESC) differentiation by electrical impedance measurements in a microfluidic device.Biosensors & bioelectronics · 2016Article
- Cardiomyocytes from human pluripotent stem cells: From laboratory curiosity to industrial biomedical platform.Biochimica et biophysica acta · 2016Article
- Induction of Human iPSC-Derived Cardiomyocyte Proliferation Revealed by Combinatorial Screening in High Density Microbioreactor Arrays.Scientific reports · 2016Article
- Single Cell Electrical Characterization Techniques.International journal of molecular sciences · 2015Review
- Electrical and Mechanical Strategies to Enable Cardiac Repair and Regeneration.IEEE reviews in biomedical engineering · 2015Review
- Concise review: microfluidic technology platforms: poised to accelerate development and translation of stem cell-derived therapies.Stem cells translational medicine · 2014Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Stem cell therapies hold great promise for repairing tissues damaged due to disease or injury. However, a major obstacle facing this field is the difficulty in identifying cells of a desired phenotype from the heterogeneous population that arises during stem cell differentiation. Conventional fluorescence flow cytometry and magnetic cell purification require exogenous labeling of cell surface markers which can interfere with the performance of the cells of interest. Here, we describe a non-genetic, label-free cell cytometry method based on electrophysiological response to stimulus. As many of the cell types relevant for regenerative medicine are electrically-excitable (e.g. cardiomyocytes, neurons, smooth muscle cells), this technology is well-suited for identifying cells from heterogeneous stem cell progeny without the risk and expense associated with molecular labeling or genetic modification. Our label-free cell cytometer is capable of distinguishing clusters of undifferentiated human induced pluripotent stem cells (iPSC) from iPSC-derived cardiomyocyte (iPSC-CM) clusters. The system utilizes a microfluidic device with integrated electrodes for both electrical stimulation and recording of extracellular field potential (FP) signals from suspended cells in flow. The unique electrode configuration provides excellent rejection of field stimulus artifact while enabling sensitive detection of FPs with a noise floor of 2 μV(rms). Cells are self-aligned to the recording electrodes via hydrodynamic flow focusing. Based on automated analysis of these extracellular signals, the system distinguishes cardiomyocytes from non-cardiomyocytes. This is an entirely new approach to cell cytometry, in which a cell's functionality is assessed rather than its expression profile or physical characteristics.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.