Mesmerize is a dynamically adaptable user-friendly analysis platform for 2D and 3D calcium imaging data.

Area of Science:

• Neuroscience
• Bioimaging
• Computational Biology

Background:

• Calcium imaging is crucial for studying neural circuits and cellular functions.
• Analyzing calcium imaging data presents significant challenges in processing, organization, and accessibility.
• Existing tools address specific issues but lack a comprehensive, user-friendly solution.

Purpose of the Study:

• To introduce Mesmerize, an efficient, expandable, and user-friendly platform for comprehensive calcium imaging data analysis.
• To implement a Findable, Accessible, Interoperable, and Reproducible (FAIR) system for the entire analysis workflow.
• To provide a graphical interface for state-of-the-art signal extraction and downstream analysis methods.

Main Methods:

• Development of the Mesmerize analysis platform with a focus on user-friendliness and expandability.
• Integration of FAIR principles to manage the complete data analysis pipeline.
• Application of Mesmerize to diverse neuronal datasets, including mouse, zebrafish, and Ciona intestinalis.

Main Results:

• Mesmerize successfully processes and analyzes complex calcium imaging datasets.
• The platform facilitates signal extraction and downstream analysis through an intuitive graphical interface.
• Demonstrated broad applicability across different species and cell types, including neuronal, epidermal, and migratory cells.

Conclusions:

• Mesmerize provides a unified, user-friendly solution for calcium imaging data analysis.
• The platform enhances data accessibility and reproducibility, supporting scientific discovery.
• Mesmerize is a valuable tool for researchers across various fields utilizing calcium imaging techniques.