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Open-Source Multiparametric Optocardiography.

Brianna Cathey1, Sofian Obaid1, Alexander M Zolotarev2

  • 1Department of Biomedical Engineering, George Washington University, Washington, DC, 20052, USA.

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We developed an affordable, open-source optical mapping system for studying cardiac function and arrhythmias. This technology enables multiparametric analysis of heart activity, making advanced research accessible to more scientists.

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Area of Science:

  • Cardiovascular Physiology
  • Biomedical Optics
  • Biophysics

Background:

  • Fluorescence imaging and optical mapping have been crucial for understanding cardiac electrophysiology and arrhythmias since the 1970s.
  • Advancements in fluorescent probes and multi-camera systems have enhanced optical mapping capabilities for simultaneous multiparametric recordings.
  • High costs and complexity have limited the widespread adoption of advanced optical mapping systems.

Purpose of the Study:

  • To present an open-source, cost-effective solution for multiparametric optical mapping of cardiac function.
  • To enable simultaneous recording of transmembrane potential and intracellular calcium dynamics in cardiac tissue.
  • To facilitate broader accessibility of advanced optical mapping technology to the research community.

Main Methods:

  • Development of an open-source, 3D-printable hardware system for tandem-lens optical mapping.
  • Creation of the RHYTHM 1.2 analysis software, based on MATLAB, for data processing.
  • Application of the system for multiparametric mapping in intact mouse hearts and rat heart slices.

Main Results:

  • Successful implementation of an inexpensive, customizable tandem-lens optical mapping system.
  • Demonstration of simultaneous recording of multiple physiological parameters (e.g., transmembrane potential, calcium dynamics).
  • Validation of the system's functionality for studying cardiac electrophysiology in various models.

Conclusions:

  • The open-source hardware and software provide an accessible platform for advanced cardiac optical mapping.
  • This solution lowers the barrier to entry for researchers, promoting wider use of multiparametric mapping.
  • The technology supports customized, functional systems for diverse applications beyond traditional biomedical engineering labs.