Emily A Gordon, David L Bennett, Georgios Baskozos, Maddalena Comini
{"title":"MEAanalysis：一个开源的R包，用于在单电极水平上对AxIS导航器多电极阵列突发数据进行下游可视化。","authors":"Emily A Gordon, David L Bennett, Georgios Baskozos, Maddalena Comini","doi":"10.1093/bioadv/vbaf160","DOIUrl":null,"url":null,"abstract":"<p><strong>Summary: </strong>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.</p><p><strong>Availability and implementation: </strong>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.</p>","PeriodicalId":72368,"journal":{"name":"Bioinformatics advances","volume":"5 1","pages":"vbaf160"},"PeriodicalIF":2.8000,"publicationDate":"2025-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12311347/pdf/","citationCount":"0","resultStr":"{\"title\":\"MEAanalysis: an open-source R package for downstream visualization of AxIS navigator multi-electrode array burst data at the single-electrode level.\",\"authors\":\"Emily A Gordon, David L Bennett, Georgios Baskozos, Maddalena Comini\",\"doi\":\"10.1093/bioadv/vbaf160\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Summary: </strong>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.</p><p><strong>Availability and implementation: </strong>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.</p>\",\"PeriodicalId\":72368,\"journal\":{\"name\":\"Bioinformatics advances\",\"volume\":\"5 1\",\"pages\":\"vbaf160\"},\"PeriodicalIF\":2.8000,\"publicationDate\":\"2025-07-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12311347/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Bioinformatics advances\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1093/bioadv/vbaf160\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q2\",\"JCRName\":\"MATHEMATICAL & COMPUTATIONAL BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Bioinformatics advances","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1093/bioadv/vbaf160","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"MATHEMATICAL & COMPUTATIONAL BIOLOGY","Score":null,"Total":0}
MEAanalysis: an open-source R package for downstream visualization of AxIS navigator multi-electrode array burst data at the single-electrode level.
Summary: 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.
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.
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