Real-time GPU-accelerated coupled cardiac system: Integrating bidirectional interactions between living optogenetic monolayers and computational simulations
OBJECTIVE: Reentrant arrhythmias are life-threatening cardiac events that are difficult to study due to limited experimental control over the complex circuit dynamics. We present a real-time coupled cardiac system that allows in real-time dynamic manipulation of reentrant pathways in vitro using physiologically relevant simulations. METHODS: We designed a closed-feedback loop system that couples a cultured cardiac monolayer with a two-dimensional computational simulation of cardiac tissue. The simulation, based on GPU-accelerated models (e.g., cellular automata), predicts wave propagation in real-time using the Abubu.js library. Optical mapping captures monolayer activation patterns, and simulation outputs are converted into light-based stimulation via optogenetics, using LEDs and microcontrollers to depolarize cardiac tissue. RESULTS: Our platform is capable of accurately detecting and responding to electrical waves in real-time, enabling interactive modulation of reentrant circuits. The system replaces traditional fixed-delay stimulation protocols with computationally guided interventions, better mimicking physiological conduction dynamics. CONCLUSION: This coupled system provides a novel and responsive method to study reentrant arrhythmias. Its integration of optical stimulation, real-time modeling, and tissue feedback enables the construction of user-defined reentry pathways and dynamic interaction with reentrant circuit behavior. SIGNIFICANCE: By merging computational and biological systems, this work introduces a versatile experimental framework for investigating arrhythmias. Built from inexpensive and accessible components, it lowers technical and financial barriers, increasing accessibility across a broad range of researchers and research environments. The platform may inform future control and anti-arrhythmic strategies and pave the way for personalized cardiac electrophysiology studies.
Authors
- Abouzar Kaboudian (ORCID: https://orcid.org/0000-0002-8916-7856)
- Flavio H. Fenton (ORCID: https://orcid.org/0000-0002-4089-8850)
- Gil Bub (ORCID: https://orcid.org/0000-0002-5304-0036)
- Younes Valibeigi
Institutions
- Montreal Neurological Institute and Hospital (CA)
- Georgia Institute of Technology (US)
- McGill University (CA)
Publication Details
- Journal
- PLoS Computational Biology
- Published
- 2026-08-03
- DOI
- https://doi.org/10.1371/journal.pcbi.1014590
- Primary Topic
- Photoreceptor and optogenetics research
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- McGill University
- Universities Space Research Association
- National Institutes of Health
- Canadian Institutes of Health Research
- Natural Sciences and Engineering Research Council of Canada
- National Heart, Lung, and Blood Institute