Scientific Software

MEAnalyzer

Published, citable, downloadable MATLAB software for multi-electrode array data analysis.

Scientific problem Multi-electrode array experiments generate dense spike-train data that can be difficult to process consistently without specialized coding.
Why It Was Needed

Commercial MEA systems make acquisition fast, but analysis bottlenecks can limit how efficiently researchers extract physiological features, compare manipulations, and interpret network activity.

What It Enables

MEAnalyzer wraps spike-train statistics, burst detection, functional connectivity, periodicity analysis, visualization, and provenance-aware exports in a point-and-click interface.

MEAnalyzer supports analysis and visualization of multi-electrode array activity, connecting cellular circuit measurements to interpretable computational summaries. It is the most mature software system in this portfolio: published, citable, downloadable, and built for real electrophysiology workflows.

Scientific Infrastructure

MEAnalyzer was built for high-throughput electrophysiology workflows in neurons, organoids, and brain slices. It lowers the barrier to advanced spike-train analysis while keeping the analytic steps visible enough for auditing and re-analysis.

Scientific Story

The system reflects a larger principle of the site: computational tools are part of the scientific contribution. A GUI can democratize analysis for bench scientists while still supporting rigorous quantitative methods.

Connected Threads

Capabilities

Software download

MEAnalyzer is available through MATLAB Central File Exchange, making it a downloadable tool rather than a conceptual project.

Publication-linked software

The software is tied to a citable publication and anchors the scientific software thread of the site.

Point-and-click analysis

The GUI lowers the barrier for bench scientists and collaborators who need rigorous spike-train analysis without rebuilding code.

MEA use cases

Supports neurons, organoids, brain slices, burst detection, functional connectivity, periodicity analysis, and network visualization.

Related Publications
MATLAB Central

Download, version, and community information are available through the linked MathWorks File Exchange page.

Impact

MEAnalyzer demonstrates how scientific software can become a citable, reusable research output.