ArticleNeuroinformatics2022
MEA-ToolBox: an Open Source Toolbox for Standardized Analysis of Multi-Electrode Array Data.
Article in Neuroinformatics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 25 citations in OpenAlex.
- Article
- CASCADE: criticality avalanche spike cross-platform analysis detection engine, a multi-manufacturer MEA bash analysis pipeline.Bioinformatics (Oxford, England) · 2026Article
- Quantifying Correlogram Shape to Analyze Neuronal Firing Dynamics Recorded in TBI-on-a-Chip.Neuroinformatics · 2026Article
- Forward programming of human pluripotent stem cells to generate glutamatergic and GABAergic neurons in a tri-culture model with astrocytes.Stem cell research & therapy · 2026Article
- Decoding Pain: Next-Generation In Vitro Systems for Mechanistic Insights and Drug Discovery.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2025Review
- Repetitive training enhances the pattern recognition capability of cultured neural networks.PLoS computational biology · 2025Article
- MEA-Based Graph Deviation Network for Early Autism Syndrome Signatures in Human Forebrain Organoids.Cyborg and bionic systems (Washington, D.C.) · 2025Article
- MEAanalysis: an open-source R package for downstream visualization of AxIS navigator multi-electrode array burst data at the single-electrode level.Bioinformatics advances · 2025Article
- Saxitoxin potentiates human neuronal cell death induced by Zika virus while sparing neural progenitors and astrocytes.Scientific reports · 2024Article
- autoMEA: machine learning-based burst detection for multi-electrode array datasets.Frontiers in neuroscience · 2024Article
- An organ-on-chip device with integrated charge sensors and recording microelectrodes.Scientific reports · 2023Article
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Functional assessment of in vitro neuronal networks-of relevance for disease modelling and drug testing-can be performed using multi-electrode array (MEA) technology. However, the handling and processing of the large amount of data typically generated in MEA experiments remains a huge hurdle for researchers. Various software packages have been developed to tackle this issue, but to date, most are either not accessible through the links provided by the authors or only tackle parts of the analysis. Here, we present ''MEA-ToolBox'', a free open-source general MEA analytical toolbox that uses a variety of literature-based algorithms to process the data, detect spikes from raw recordings, and extract information at both the single-channel and array-wide network level. MEA-ToolBox extracts information about spike trains, burst-related analysis and connectivity metrics without the need of manual intervention. MEA-ToolBox is tailored for comparing different sets of measurements and will analyze data from multiple recorded files placed in the same folder sequentially, thus considerably streamlining the analysis pipeline. MEA-ToolBox is available with a graphic user interface (GUI) thus eliminating the need for any coding expertise while offering functionality to inspect, explore and post-process the data. As proof-of-concept, MEA-ToolBox was tested on earlier-published MEA recordings from neuronal networks derived from human induced pluripotent stem cells (hiPSCs) obtained from healthy subjects and patients with neurodevelopmental disorders. Neuronal networks derived from patient's hiPSCs showed a clear phenotype compared to those from healthy subjects, demonstrating that the toolbox could extract useful parameters and assess differences between normal and diseased profiles.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.