Gordon Emily A, Bennett David L, Baskozos Georgios, Comini Maddalena
Nuffield Department of Clinical Neurosciences, University of Oxford, John Radcliffe Hospital, Oxford OX3 9DU, United Kingdom.
Bioinform Adv. 2025 Jul 3;5(1):vbaf160. doi: 10.1093/bioadv/vbaf160. eCollection 2025.
Multi-electrode array (MEA) generate electrophysiological data that can be used to functionally characterize 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 visualize 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.
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.
多电极阵列（MEA）可生成电生理数据，这些数据可用于对可兴奋细胞进行功能特性分析。以可重复的方式分析MEA数据可能会很复杂，当前的数据分析工具通常在全孔水平上计算参数。在此，我们展示了MEAanalysis，这是一个开源的R包[GPL（≥2）]，能够在AxIS Navigator软件（Axion BioSystems）处理后的单电极水平上可视化爆发参数，从而加深我们对可兴奋细胞网络时空变异性的理解。
该软件包托管在以下GitHub仓库中，可从该仓库安装：https://github.com/egordon2/MEA-analysis-package。通过电子邮件或GitHub问题标签提供的用户反馈将为开发周期提供参考。
