Key result
Free open-source ImageJ plugin Spiky processes and analyzes cardiac physiology research data.
Why the study?
Investigations of heart physiology and pathophysiology increasingly rely on image analysis requiring extensive skills and/or expensive software, raising concerns about reproducibility.
Spiky is a free, open-source ImageJ plugin that provides a robust interface for analyzing excitation-contraction data in cardiac physiology research.
INTRODUCTION AND OBJECTIVE: Nowadays, investigations of heart physiology and pathophysiology rely more and more upon image analysis, whether for the detection and characterization of events in single cells or for the mapping of events and their characteristics across an entire tissue. These investigations require extensive skills in image analysis and/or expensive software, and their reproducibility may be a concern. Our objective was to build a robust, reliable and open-source software tool to quantify excitation-contraction related experimental data at multiple scales, from single isolated cells to the whole heart. METHODS AND RESULTS: A free and open-source ImageJ plugin, Spiky, was developed to detect and analyze peaks in experimental data streams. It allows rapid and easy analysis of action potentials, intracellular calcium transient and contraction data from cardiac research experiments. As shown in the provided examples, both classical bi-dimensional data (XT signals) and video data obtained from confocal microscopy and optical mapping experiments (XYT signals) can be analyzed. Spiky was written in ImageJ Macro Language and JAVA, and works under Windows, Mac and Linux operating systems. CONCLUSION: Spiky provides a complete working interface to process and analyze cardiac physiology research data.
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Pasqualin et al. (2022) studied Cardiac physiology research. Spiky (ImageJ plugin) was evaluated on Detection and analysis of peaks in experimental data streams. Spiky, a free and open-source ImageJ plugin, was developed to provide a complete working interface to process and analyze cardiac physiology research data.
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