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Abstract Summary Multi-electrode array (MEA) generate electrophysiological data that can be used to functionally characterise excitable cells. MEA data can be complex to analyse in a reproducible manner, with current data analysis tools often calculating parameters at the whole-well level. Here we present MEAanalysis, an open-source R package (GPL ( > = 2)) able to visualise burst parameters at the single electrode level downstream of AxIS Navigator software (Axion BioSystems) processing, thus increasing our understanding of an excitable cell network’s spatiotemporal variability. Availability and Implementation The package is hosted on and can be installed from the following GitHub repository: https://github.com/egordon2/MEA-analysis-package. User feedback provided via email or the GitHub issues tab will inform cycles of development. Supplementary Information A website containing example workflows and instructions on how a user may apply MEAanalysis to read and analyse other datasets is available at: https://egordon2.github.io/MEA-analysis-package/.

Original publication

DOI

10.1093/bioadv/vbaf160

Type

Journal article

Journal

Bioinformatics Advances

Publisher

Oxford University Press (OUP)

Publication Date

03/07/2025