Evaluation of novel open-source software for cardiac optical mapping.

Area of Science:

• Cardiac electrophysiology
• Computational biology
• Biomedical engineering

Background:

• Cardiac optical mapping generates high-resolution spatiotemporal data crucial for understanding heart function.
• Open-source software facilitates accessibility and reproducibility in complex physiological data analysis.
• KairoSight-3.0 is a novel Python-based tool designed for cardiac optical mapping analysis.

Purpose of the Study:

• To evaluate the performance of KairoSight-3.0 against the established ElectroMap software.
• To assess KairoSight-3.0's capabilities in analyzing action potential duration and conduction velocity.
• To explore potential discrepancies and future directions for cardiac mapping analysis tools.

Main Methods:

• Comparative analysis of KairoSight-3.0 and ElectroMap using mouse heart models.
• Application of ischaemia and flecainide treatment to induce cardiac conditions.
• Measurement and comparison of key electrophysiological parameters like action potential duration and conduction velocity.

Main Results:

• Both KairoSight-3.0 and ElectroMap demonstrate effectiveness in analyzing cardiac conduction and repolarization changes.
• Inherent methodological differences between the software can lead to variations in measurement outcomes.
• KairoSight-3.0's Python implementation and features offer robust analysis capabilities.

Conclusions:

• KairoSight-3.0 is a valuable open-source tool for cardiac optical mapping research.
• Understanding software-specific measurement differences is crucial for accurate interpretation of results.
• Further development of KairoSight-3.0 and similar tools will advance cardiac electrophysiology research.