Mea Chip Recording
Mea Chip Recording - Related Videos
09:27
How to Culture, Record and Stimulate Neuronal Networks on Micro-electrode Arrays (MEAs)
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Cited by 86 •
2010
This protocol provides the necessary information for setting up, caring for, recording from and electrically stimulating cultures on MEAs. In vitro networks provide a means for asking physiologically relevant questions at the network and cellular levels leading to a better understanding of brain function and dysfunction.
11:13
Electrophysiological Analysis of human Pluripotent Stem Cell-derived Cardiomyocytes (hPSC-CMs) Using Multi-electrode Arrays (MEAs)
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Cited by 44 •
2017
Electrophysiological characterization of cardiomyocytes derived from human Pluripotent Stem Cells (hPSC-CMs) is crucial for cardiac disease modeling and for determining drug responses. This protocol provides the necessary information to dissociate and plate hPSC-CMs on multi-electrode arrays, measure their field potential, and a method for analyzing QT and RR intervals.
09:14
High efficiency, Site-specific Transfection of Adherent Cells with siRNA Using Microelectrode Arrays (MEA)
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Cited by 4 •
2012
The article details the protocol for site-specific transfection of scrambled sequence of siRNA in an adherent mammalian cell culture using a microelectrode array (MEA).
08:27
Multielectrode Array Recordings of the Vomeronasal Epithelium
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Cited by 14 •
2010
Multielectrode array (MEA) recordings provide a method for studying the electrical activity of large populations of neurons. Here, we present the details of a MEA preparation to record from the mouse vomeronasal epithelium while simultaneously stimulating the tissue.
07:50
Chip-Based Digital PCR to Detect Rare Transcript Variants Using a Nanofluidic Chip
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2025
This video demonstrates chip-based digital PCR — a variation of the digital PCR technique that is useful in detecting rare transcript variants. The PCR reaction is partitioned into the chambers of a nanofluidic chip, each of which acts as an independent reaction. The detection of fluorescence signals from the chambers with amplified targets confirms the presence of rare transcript variants in the sample.
FAQs
Microelectrodes detect extracellular voltage changes produced when action potentials and other electrical events occur near the electrode surface. Because the electrodes sit beneath or around cultured cells, the measurement reflects activity outside the cells rather than requiring direct penetration. This arrangement allows electrical signaling to be monitored while preserving the broader cellular or tissue context.
Software can organize recordings according to the timing, frequency, and coordination of electrical signals. Timing indicates when events occur, frequency shows how often they occur, and coordination reveals whether activity is synchronized across monitored sites. Examining these features together helps distinguish changes in overall signaling patterns rather than relying on a single electrical event.
A multielectrode array provides parallel measurements from many cells or tissue sites, whereas a single-cell technique focuses on a more limited location. The broader sampling can expose coordinated activity and functional differences across a preparation. Its noninvasive character also supports continued observation of signaling patterns that may be difficult to assess through single-cell measurements alone.
Coordination shows how electrical signals are organized across cells or tissue sites, not merely whether individual events occur. Changes in synchronization, timing, or signal frequency may therefore indicate altered physiological or disease-related signaling. This perspective is useful for studying neuronal communication and cardiac electrophysiology, where relationships among multiple active sites contribute to functional interpretation.
A typical workflow places cultured cells or a tissue preparation on or around the chip’s microelectrodes, records extracellular voltage changes, and then uses software to analyze the resulting signals. The analysis focuses on event timing, frequency, and coordination across recording sites. Researchers can compare these patterns across physiological, disease-related, or experimental conditions.
Researchers can use the recordings to examine how drug exposure changes electrical signaling in cellular or tissue models. Measurements of event timing, frequency, and coordination provide functional readouts that complement structural observations. The approach is therefore relevant for assessing drug effects, identifying toxicity-related changes, and evaluating whether a treatment produces a measurable response in a disease model.
The method supports investigations of neuronal communication, cardiac electrophysiology, disease models, drug effects, toxicity, and treatment responses. Its ability to monitor many locations in parallel can reveal functional changes across a preparation, including altered signaling patterns that single-cell measurements may miss. These outcomes make it useful for connecting bioelectric activity with physiological or disease-related behavior.