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

**Authors:** Olivia Baines, Rina Sha, Siddhanth Jatti, Christopher O'Shea

PMC · DOI: 10.1016/j.jmccpl.2024.100068 · Journal of Molecular and Cellular Cardiology plus · 2024-06-01

## TL;DR

This paper evaluates KairoSight-3.0, a new open-source tool for analyzing cardiac optical mapping data, comparing it to ElectroMap.

## Contribution

The study provides a direct comparison of KairoSight-3.0 and ElectroMap, highlighting their performance differences and new features.

## Key findings

- Both KairoSight-3.0 and ElectroMap are effective for analyzing cardiac optical mapping data.
- KairoSight-3.0's Python implementation and new features offer robust analysis capabilities.
- Methodological differences between the tools impact measurement outcomes.

## Abstract

KairoSight-3.0 is a recently released Python-based, open-source software for cardiac optical mapping analysis. Addressing challenges in high-resolution electrophysiological data analysis, KairoSight-3.0 facilitates comprehensive studies of cardiac conduction and excitation-contraction coupling. We compared its performance with ElectroMap, focusing on action potential duration and conduction velocity measurements in mouse heart models subjected to ischaemia and flecainide treatment. Our findings reveal that while both software are effective, inherent methodological differences impact measurement outcomes. KairoSight-3.0's robust analysis capabilities make it a valuable tool in cardiac research. Additionally, future directions for KairoSight-3.0 and other mapping analysis tools are explored.

Open-source methods for analysis of cardiac optical mapping are vital tools in electrophysiological research. Our work directly evaluates the latest version of KarioSight, recently published in JMCC plus, with ElectroMap, an established and widely used tool. Our results show both software are effective in analysis of changes in both conduction and repolarisation. Considering the new features of KairoSight-3.0 and python implementation, our study importantly demonstrates the effectiveness of the software, highlights potential discrepancies between it and ElectroMap, and provides a perspective on future directions for KairoSight-3.0 and other software.

## Linked entities

- **Chemicals:** flecainide (PubChem CID 3356)
- **Species:** Mus musculus (taxon 10090)

## Full-text entities

- **Diseases:** ischaemia (MESH:D007511)
- **Chemicals:** flecainide (MESH:D005424)
- **Species:** Mus musculus (house mouse, species) [taxon 10090]

## Full text

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## Figures

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## References

17 references — full list in the complete paper: https://tomesphere.com/paper/PMC11196923/full.md

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Source: https://tomesphere.com/paper/PMC11196923