Begonia-A Two-Photon Imaging Analysis Pipeline for Astrocytic Ca²⁺ Signals.

Area of Science:

• Neuroscience
• Cellular Biology
• Computational Biology

Background:

• Anesthesia-free imaging of awake mouse brains reveals complex astrocytic calcium (Ca2+) signals.
• Traditional analysis methods struggle with the spatiotemporal complexity and multimodal nature of this data.
• Interpreting astrocytic Ca2+ signals requires integrating behavioral, stimulation, and electrophysiological data.

Purpose of the Study:

• To introduce Begonia, a MATLAB-based toolbox for managing and analyzing astrocytic Ca2+ signals.
• To provide a solution for the challenges in processing multimodal data from awake behaving mice.
• To enable precise, unbiased quantification of astrocytic Ca2+ dynamics correlated with behavior.

Main Methods:

• Development of Begonia, a MATLAB toolbox integrating data management and analysis.
• Implementation of an automatic, event-based algorithm for analyzing astrocytic Ca2+ signals.
• Facilitation of multimodal data integration, including behavioral metrics and electrophysiology.

Main Results:

• Begonia offers an automatic, event-based analysis with minimal parameters.
• The toolbox captures high spatiotemporal complexity in astrocytic Ca2+ dynamics.
• It allows for precise and unbiased quantification of Ca2+ signals and their correlation with other data types.

Conclusions:

• Begonia provides an efficient and robust solution for analyzing astrocytic Ca2+ signals in awake behaving mice.
• The toolbox facilitates a deeper understanding of astrocyte function in vivo.
• Begonia streamlines complex data analysis, enabling researchers to combine Ca2+ dynamics with diverse time-series data.