Marine Biology and Ecology Research Centre, Plymouth University, Plymouth PL4 8AA, UK.
Marine Biological Association of the UK, Citadel Hill Laboratory, Plymouth PL1 2PB, UK.
J Exp Biol. 2022 Oct 1;225(19). doi: 10.1242/jeb.244729. Epub 2022 Oct 3.
Heart function is a key component of whole-organismal physiology. Bioimaging is commonly, but not exclusively, used for quantifying heart function in transparent individuals, including early developmental stages of aquatic animals, many of which are transparent. However, a central limitation of many imaging-related methods is the lack of transferability between species, life-history stages and experimental approaches. Furthermore, locating the heart in mobile individuals remains challenging. Here, we present HeartCV: an open-source Python package for automated measurement of heart rate and heart rate variability that integrates automated localization and is transferrable across a wide range of species. We demonstrate the efficacy of HeartCV by comparing its outputs with measurements made manually for a number of very different species with contrasting heart morphologies. Lastly, we demonstrate the applicability of the software to different experimental approaches and to different dataset types, such as those corresponding to longitudinal studies.
心脏功能是整体器官生理学的关键组成部分。生物成像通常用于量化透明个体(包括水生动物的早期发育阶段)的心脏功能,但并非专门用于此。然而,许多与成像相关的方法的一个主要局限性是缺乏物种间、生活史阶段和实验方法的可转移性。此外,定位移动个体的心脏仍然具有挑战性。在这里,我们提出了 HeartCV:一个用于自动测量心率和心率变异性的开源 Python 包,它集成了自动定位功能,并且可以在广泛的物种中转移。我们通过将其输出与手动测量的一些具有不同心脏形态的非常不同的物种进行比较,证明了 HeartCV 的有效性。最后,我们展示了该软件在不同实验方法和不同数据集类型中的适用性,例如对应于纵向研究的数据集类型。