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Neuroscience JoVE (Open Access) Citable · DOI

High-Throughput Analysis of Optical Mapping Data Using ElectroMap

DOI: 10.3791/59663-v
What you'll learn
  • ✓ Set up and configure ElectroMap MATLAB software for cardiac optical mapping analysis
  • ✓ Preprocess voltage and calcium imaging datasets to improve signal-to-noise ratio
  • ✓ Export processed optical mapping data in standard formats for downstream analysis
Protocol

This protocol describes the setup and use of ElectroMap, a MATLAB-based open-source software platform for analysis of cardiac optical mapping data. ElectroMap provides a versatile high-throughput tool for analysis of optical mapping voltage and calcium datasets across a wide range of cardiac experimental models.

Difficulty
intermediate
Total time
~1-2 hours per dataset (software-dependent; excludes experimental data acquisition)

Steps

1
Launch ElectroMap and load optical mapping data

Open the ElectroMap MATLAB-based software platform and import cardiac voltage or calcium imaging datasets. Configure file paths and basic parameters for the selected experimental model.

▶ 01:01
2
Apply preprocessing filters and signal enhancement

Execute preprocessing workflows including noise reduction, temporal filtering, and spatial smoothing to improve signal-to-noise ratio of optically recorded cardiac signals.

▶ 04:19
3
Perform additional analyses and export results

Run secondary analyses such as activation mapping, conduction velocity analysis, or phase mapping as applicable. Export processed datasets and analysis outputs in standard formats.

▶ 05:19
4
Evaluate signal quality and processing outcomes

Review ElectroMap-generated visualizations and quality metrics demonstrating improved signal fidelity and multiple processing options available for diverse optical mapping experimental models.

▶ 05:25
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