Resolution and automated analysis of single‐cell Ca 2+ waves within living myocardial tissue slices

Abstract Current approaches for the study of arrhythmogenic Ca 2+ waves in intact cardiac tissue have limited capacity to study the relationship between single‐cell properties and the tissue environment. Particularly, wide‐field Ca 2+ imaging captures large areas but merges signals from multiple cells, while confocal imaging provides (sub)cellular resolution but is limited to a small number of cells. The aim of this study was to develop an imaging and analysis pipeline capable of extracting single‐cell Ca 2+ wave dynamics across large fields within the intact multicellular tissue. Living myocardial slices were prepared from left ventricular tissue from pig and human hearts. Ca 2+ transients and waves reported by Fluo8 were imaged in regions of 20–100 cells at the slice surface. Following a 2 min conditioning period of 2 Hz pacing under adrenergic stimulation, Ca 2+ waves were evident during the rest period. Images were recorded at 200 fps. After image processing, single Ca 2+ waves were identified and propagation paths were tracked using TrackMate. From these tracks, Ca 2+ wave parameters (number of tracks, coordinates and kinetics) were extracted for quantitative analysis and assigned to individual cardiomyocytes using a maximum fluorescence intensity mask to identify cellular borders. In healthy pig cardiac tissue, we captured and quantified single‐cell Ca 2+ wave dynamics, detecting variability within the population and an absence of synchronization. The recording of Ca 2+ dynamics across a large cell population and their cell–cell interactions bridges the gap between cell‐ and tissue‐level observations. Future studies of diseased tissue will offer new insights into mechanisms driving aberrant cellular Ca 2+ activity and the translation into arrhythmias. image Key points We developed an approach that allows high frame‐rate imaging of living cardiac tissue, while retaining capacity to identify Ca 2+ waves in single cells. In myocardial slice preparations from pig and human hearts, we recorded Ca 2+ waves and, using image analysis tools, tracked their paths and properties simultaneously within individual cells and across a large cell population (20–100 cells) within a region of interest. This approach bridges a key gap between single‐cell observations and whole‐tissue behaviour, and can offer deeper insights into how cellular Ca 2+ waves could expand and propagate in the heart. Our approach provides a new methodology to study cellular mechanisms that lead to arrhythmias in diseased cardiac tissue.

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Publication Details

Journal
The Journal of Physiology
Published
2026-09-24
DOI
https://doi.org/10.1113/jp288988
Primary Topic
Cardiac electrophysiology and arrhythmias
Type
article
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article

Resolution and automated analysis of single‐cell Ca 2+ waves within living myocardial tissue slices

H. Llewelyn Roderick, Ankit Pradhan, Karin R. Sipido, Darya Kazakova et al.
The Journal of Physiology
Cardiac electrophysiology and arrhythmias
article

Resolution and automated analysis of single‐cell Ca 2+ waves within living myocardial tissue slices

H. Llewelyn Roderick, Ankit Pradhan, Karin R. Sipido, Darya Kazakova, Eef Dries, Luka Nys
article en

Abstract

Abstract Current approaches for the study of arrhythmogenic Ca 2+ waves in intact cardiac tissue have limited capacity to study the relationship between single‐cell properties and the tissue environment. Particularly, wide‐field Ca 2+ imaging captures large areas but merges signals from multiple cells, while confocal imaging provides (sub)cellular resolution but is limited to a small number of cells. The aim of this study was to develop an imaging and analysis pipeline capable of extracting single‐cell Ca 2+ wave dynamics across large fields within the intact multicellular tissue. Living myocardial slices were prepared from left ventricular tissue from pig and human hearts. Ca 2+ transients and waves reported by Fluo8 were imaged in regions of 20–100 cells at the slice surface. Following a 2 min conditioning period of 2 Hz pacing under adrenergic stimulation, Ca 2+ waves were evident during the rest period. Images were recorded at 200 fps. After image processing, single Ca 2+ waves were identified and propagation paths were tracked using TrackMate. From these tracks, Ca 2+ wave parameters (number of tracks, coordinates and kinetics) were extracted for quantitative analysis and assigned to individual cardiomyocytes using a maximum fluorescence intensity mask to identify cellular borders. In healthy pig cardiac tissue, we captured and quantified single‐cell Ca 2+ wave dynamics, detecting variability within the population and an absence of synchronization. The recording of Ca 2+ dynamics across a large cell population and their cell–cell interactions bridges the gap between cell‐ and tissue‐level observations. Future studies of diseased tissue will offer new insights into mechanisms driving aberrant cellular Ca 2+ activity and the translation into arrhythmias. image Key points We developed an approach that allows high frame‐rate imaging of living cardiac tissue, while retaining capacity to identify Ca 2+ waves in single cells. In myocardial slice preparations from pig and human hearts, we recorded Ca 2+ waves and, using image analysis tools, tracked their paths and properties simultaneously within individual cells and across a large cell population (20–100 cells) within a region of interest. This approach bridges a key gap between single‐cell observations and whole‐tissue behaviour, and can offer deeper insights into how cellular Ca 2+ waves could expand and propagate in the heart. Our approach provides a new methodology to study cellular mechanisms that lead to arrhythmias in diseased cardiac tissue.

The Journal of Physiology
KU Leuven (BE)
Openalex Percentile: Top 11%
Cardiac electrophysiology and arrhythmias
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