Multiscale Cloud-based Pipeline for Neuronal Electrophysiology Analysis and Visualization.

ABSTRACT: Electrophysiology offers a high-resolution method for real-time measurement of neural activity. The vast amount of data generated requires efficient storage and sophisticated processing to extract neural function and network dynamics. However, analysis is often challenging due to the need for multiple software tools with different runtime dependencies. Longitudinal recordings from high-density microelectrode arrays (HD-MEAs) can be of considerable size for local storage, complicating data management, sharing, and backup. To address these challenges, we developed an open-source cloud-based pipeline to store, analyze, and visualize neuronal electrophysiology recordings from HD-MEAs. This pipeline is dependency agnostic by utilizing cloud storage, cloud computing resources, and an Internet of

SUBMITTER: Geng J 

PROVIDER: S-EPMC11601321 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature