Pasqualin Côme, Gannier François, Yu Angèle, Benoist David, Findlay Ian, Bordy Romain, Bredeloux Pierre, Maupoil Véronique
Groupe Physiologie des Cellules Cardiaques et Vasculaires, Université de Tours, EA4245 Transplantation, Immunologie, Inflammation, 37000 Tours, France.
IHU Liryc, Electrophysiology and Heart Modeling Institute, Fondation Bordeaux Université, 33600 Pessac, France.
J Imaging. 2022 Apr 1;8(4):95. doi: 10.3390/jimaging8040095.
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.
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.
Spiky provides a complete working interface to process and analyze cardiac physiology research data.
如今，心脏生理学和病理生理学的研究越来越依赖于图像分析，无论是用于检测和表征单细胞中的事件，还是用于绘制整个组织中事件及其特征的图谱。这些研究需要广泛的图像分析技能和/或昂贵的软件，并且其可重复性可能令人担忧。我们的目标是构建一个强大、可靠且开源的软件工具，用于在多个尺度上量化与兴奋 - 收缩相关的实验数据，从单个分离细胞到整个心脏。
开发了一个免费的开源ImageJ插件Spiky，用于检测和分析实验数据流中的峰值。它能够快速且轻松地分析心脏研究实验中的动作电位、细胞内钙瞬变和收缩数据。如所提供的示例所示，经典的二维数据（XT信号）以及从共聚焦显微镜和光学映射实验获得的视频数据（XYT信号）均可进行分析。Spiky是用ImageJ宏语言和JAVA编写的，可在Windows、Mac和Linux操作系统下运行。
Spiky提供了一个完整的工作界面来处理和分析心脏生理学研究数据。
