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COSMAS: a lightweight toolbox for cardiac optical mapping analysis.

Jakub Tomek1,2, Zhinuo Jenny Wang3, Rebecca-Ann Beatrice Burton4

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Summary

COSMAS is a new software toolkit for automated analysis of optical mapping data in cardiac research. It provides detailed visualizations and analysis, improving reproducibility and accessibility for large datasets.

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Area of Science:

  • Cardiovascular Physiology
  • Computational Biology
  • Biomedical Engineering

Background:

  • Optical mapping is crucial for visualizing cardiac electrophysiology and calcium dynamics.
  • Large optical mapping datasets necessitate automated computational analysis for efficient interpretation.

Purpose of the Study:

  • To introduce COSMAS, a software toolkit for automated analysis of optical mapping recordings in cardiac preparations.
  • To enable detailed mapping of cardiac electrical activity, including activation, conduction velocity, action potential duration, and calcium transients.

Main Methods:

  • Development of the COSMAS software toolkit, incorporating a novel 'comb' algorithm for action potential and calcium transient segmentation.
  • Implementation of a script-based analysis pipeline for batch processing, reproducibility, and transparency.
  • Provision of the software in both Matlab and Python, with a user guide and sample scripts.

Main Results:

  • COSMAS generates activation and conduction velocity maps, action potential and calcium transient duration visualizations, S1-S2 protocol analysis, and alternans mapping.
  • The 'comb' algorithm demonstrates high performance and noise resistance.
  • The script-based approach facilitates batch processing and enhances reproducibility.

Conclusions:

  • COSMAS offers a robust and accessible solution for automated analysis of large optical mapping datasets in cardiac research.
  • The software's design promotes reproducibility, transparency, and extensibility for researchers.
  • COSMAS maximizes accessibility through multi-language support and comprehensive documentation.