CASCADE: Criticality Avalanche Spike Cross-platform Analysis Detection Engine, a Multi-Manufacturer MEA Bash Analysis Pipeline

Clicks: 20
ID: 322752
2026
Free PDF
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Emerging

Ranked #515 of 983 articles by views in BMC Bioinformatics

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 983 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Sign in to mint
Abstract
Abstract Summary Multi-electrode array (MEA) recordings are widely utilized to characterize neuronal network activity. However, currently each manufacturer distributes proprietary software that operates exclusively on its own file format. Since no cross-platform, open-source pipeline currently exists. Thus, we created CASCADE (Criticality Avalanche Spike Cross-platform Analysis Detection Engine), a Python-based command-line (bash) pipeline to analyze MEA recordings from 3Brain, Axion Biosystems, Cortical Labs, Maxwell Biosystems, and Multi-Channel Systems MEA devices. CASCADE measures the standard parameters such as: network, burst, firing rate frequency, and also measures criticality and avalanches. CASCADE criticality calculation was benchmarked across six MEA recordings from five manufacturers, resulting in comparable values because all recordings were analyzed using identical computational methods regardless of manufacturer file format. Thus, CASCADE provides a flexible and robust MEA analysis pipeline that can also analyze neuronal avalanches and criticality from multiple MEA devices from different manufacturers. Availability and implementation CASCADE is freely available at GitHub repository (https://github.com/FA387/cascade-mea) and can be installed via PyPI (pip install cascade-mea). The source code is archived at Zenodo (https://doi.org/10.5281/zenodo.20840795). Data used in this work is available at Zenodo repository (https://doi.org/10.5281/zenodo.19161615). The data underlying this article are available in the article and in its online supplementary material. Supplementary information Supplementary data are available at Bioinformatics online.
Reference Key
openalex_W7171740342 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Forbes Avila, Jin Kim, Jong‐Chan Park, Rian Kang, Hyunsu Lee, Sun-Hyun Park
Are you one of these authors? Claim your profile
Journal BMC Bioinformatics
Year 2026
DOI
10.1093/bioinformatics/btag570
URL
https://doi.org/10.1093/bioinformatics/btag570
Keywords Keywords not found

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.