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VizCOM: A Novel Tool for Advanced Visualization and Analysis of Cardiac Optical Mapping Data.

Christopher Chiu1, Grayson Molesworth1, Mikael Toye1

  • 1Georgia Institute of Technology, Atlanta, GA, USA.

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Summary

VizCOM is a new Python tool that analyzes cardiac optical mapping data, overcoming analysis bottlenecks. It offers comprehensive visualization and quantitative analysis for improved understanding of cardiac dynamics.

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Area of Science:

  • Cardiovascular Physiology
  • Biomedical Imaging
  • Computational Biology

Background:

  • Cardiac optical mapping is crucial for studying cardiac spatiotemporal dynamics.
  • High-resolution CMOS cameras provide quality data but generate large datasets, creating an analysis bottleneck.

Purpose of the Study:

  • To develop an interactive, feature-rich tool for visualizing and analyzing cardiac optical mapping data.
  • To address the data analysis bottleneck in cardiac optical mapping.

Main Methods:

  • Developed VizCOM, a Python-based software for Windows and MacOS.
  • VizCOM processes long voltage or voltage-calcium recordings from various cameras.
  • Features include region of interest masking, pixel signal display, filtering (stacking, baseline drift removal), and activation map generation.

Main Results:

  • VizCOM enables visualization of action potential duration (APD) vs. diastolic interval, APD dispersion, and ΔAPD for alternans analysis.
  • The tool supports APD calculation along drawn lines for alternans analysis.
  • Histograms of APD spatial distributions, APD restitutions, and activation sequence movies can be generated and saved.

Conclusions:

  • VizCOM provides comprehensive, high-level support for cardiac optical mapping signal visualization and analysis.
  • The tool effectively handles large datasets and complex analyses, facilitating research in cardiac electrophysiology.