Begonia

Begonia analyzes astrocytic Ca2+ signals from two-photon imaging in awake, behaving mice to detect and quantify spatiotemporal event dynamics for integration with behavioral and electrophysiological data.

Key Features:

• Automatic Event-Based Analysis: Implements an automatic event-based algorithm with minimal input parameters to detect and quantify spatiotemporal astrocytic Ca2+ signal events from imaging data.
• Integration with Multimodal Data: Processes and integrates behavioral metrics, stimulation timings, and electrophysiological signals alongside imaging-derived Ca2+ events.
• Flexible Data Management: Implements a data-management framework for organizing diverse experimental datasets and accommodating additional data types.

Scientific Applications:

• Astrocyte–behavior coupling: Enables analysis of astrocytic Ca2+ signal dynamics in relation to animal behavior and electrophysiology to study astrocyte contributions to brain activity and cognition in awake, behaving mice.

Methodology:

MATLAB implementation using an automatic event-based algorithm to detect and quantify spatiotemporal Ca2+ events from two-photon imaging, with processing and integration of behavioral metrics, stimulation timings, and electrophysiological signals, and operation with minimal input parameters.