Assaying Spontaneous Network Activity and Cellular Viability Using Multi-Well Microelectrode Arrays
Methods in Molecular Biology, ISSN: 1940-6029, Vol: 2644, Page: 133-154
2023
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
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Book Chapter Description
Microelectrode array (MEA) technology is a neurophysiological method that allows for the measurement of spontaneous or evoked neural activity to determine chemical effects thereon. Following assessment of compound effects on multiple endpoints that evaluate network function, a cell viability endpoint in the same well is determined using a multiplexed approach. Recently, it has become possible to measure electrical impedance of cells attached to the electrodes, where greater impedance indicates greater number of cells attached. This would allow rapid and repeated assessments of cell health as the neural network develops in longer exposure assays without impacting cell health. Typically, the lactate dehydrogenase (LDH) assay for cytotoxity and CellTiter-Blue® (CTB) assay for cell viability are only performed at the end of the chemical exposure period because these assays involve lysing of the cells. Procedures describing the multiplexed methods in acute and network formation screening are included in this chapter.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85159121442&origin=inward; http://dx.doi.org/10.1007/978-1-0716-3052-5_9; http://www.ncbi.nlm.nih.gov/pubmed/37142920; https://link.springer.com/10.1007/978-1-0716-3052-5_9; https://dx.doi.org/10.1007/978-1-0716-3052-5_9; https://link.springer.com/protocol/10.1007/978-1-0716-3052-5_9
Springer Science and Business Media LLC
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