Literature DB >> 22255224

Stimulation and artifact-free extracellular electrophysiological recording of cells in suspension.

Frank B Myers1, Oscar J Abilez, Chris K Zarins, Luke P Lee.   

Abstract

We have developed instrumentation which stimulates and records electrophysiological signals from populations of suspended cells in microfluidic channels. We are employing this instrumentation in a new approach to cell sorting and flow cytometry which distinguishes cells based on their electrophysiology. This label-free approach is ideal for applications where labeling or genetic modification of cells is undesirable, such as in purifying cells for tissue replacement therapies. Electrophysiology is a powerful indicator of phenotype for electrically-excitable cells such as myocytes and neurons. However, extracellular field potential signals are notoriously weak and large stimulus artifacts can easily obscure these signals if care is not taken to suppress them. This is particularly true for suspended cells. Here, we describe a novel microelectrode configuration and the associated instrumentation for suppressing stimulus artifacts and faithfully recovering the extracellular field potential signal. We show that the device is capable of distinguishing cardiomyocytes from non-cardiomyocytes derived from the same stem cell population. Finally, we explain the relationship between extracellular field potentials and the more familiar transmembrane action potential signal, noting the physiologically important features of these signals.

Mesh:

Year:  2011        PMID: 22255224     DOI: 10.1109/IEMBS.2011.6091001

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  3 in total

1.  Enabling single cell electrical stimulation and response recording via a microfluidic platform.

Authors:  Liwei Ni; Pawan Kc; Ge Zhang; Jiang Zhe
Journal:  Biomicrofluidics       Date:  2019-12-13       Impact factor: 2.800

2.  Label-free electrophysiological cytometry for stem cell-derived cardiomyocyte clusters.

Authors:  Frank B Myers; Christopher K Zarins; Oscar J Abilez; Luke P Lee
Journal:  Lab Chip       Date:  2012-12-03       Impact factor: 6.799

3.  A Neural Recording and Stimulation Chip with Artifact Suppression for Biomedical Devices.

Authors:  Xu Liu; Juzhe Li; Tao Chen; Wensi Wang; Minkyu Je
Journal:  J Healthc Eng       Date:  2021-08-27       Impact factor: 2.682

  3 in total

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