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COSMAS:一款用于心脏光学标测分析的轻量级工具包。

COSMAS: a lightweight toolbox for cardiac optical mapping analysis.

机构信息

Department of Physiology, Anatomy, and Genetics, University of Oxford, Oxford, UK.

Department of Computer Science, University of Oxford, Oxford, UK.

出版信息

Sci Rep. 2021 Apr 28;11(1):9147. doi: 10.1038/s41598-021-87402-9.

Abstract

Optical mapping is widely used in experimental cardiology, as it allows visualization of cardiac membrane potential and calcium transients. However, optical mapping measurements from a single heart or cell culture can produce several gigabytes of data, warranting automated computer analysis. Here we present COSMAS, a software toolkit for automated analysis of optical mapping recordings in cardiac preparations. COSMAS generates activation and conduction velocity maps, as well as visualizations of action potential and calcium transient duration, S1-S2 protocol analysis, and alternans mapping. The software is built around our recent 'comb' algorithm for segmentation of action potentials and calcium transients, offering excellent performance and high resistance to noise. A core feature of our software is that it is based on scripting as opposed to relying on a graphical user interface for user input. The central role of scripts in the analysis pipeline enables batch processing and promotes reproducibility and transparency in the interpretation of large cardiac data sets. Finally, the code is designed to be easily extended, allowing researchers to add functionality if needed. COSMAS is provided in two languages, Matlab and Python, and is distributed with a user guide and sample scripts, so that accessibility to researchers is maximized.

摘要

光学绘图在实验心脏病学中被广泛应用,因为它可以可视化心脏膜电位和钙瞬变。然而,单个心脏或细胞培养的光学绘图测量会产生数吉字节的数据,需要自动化的计算机分析。在这里,我们介绍了 COSMAS,这是一个用于心脏准备自动分析光学绘图记录的软件工具包。COSMAS 生成激活和传导速度图,以及动作电位和钙瞬变持续时间、S1-S2 协议分析和alternans 映射的可视化。该软件是围绕我们最近的“梳子”算法构建的,用于分割动作电位和钙瞬变,具有出色的性能和对噪声的高抵抗力。我们软件的一个核心功能是,它基于脚本,而不是依赖图形用户界面来进行用户输入。脚本在分析管道中的核心作用支持批处理,并促进了在解释大型心脏数据集时的可重复性和透明度。最后,该代码旨在易于扩展,如果需要,研究人员可以添加功能。COSMAS 有两种语言版本,Matlab 和 Python,并提供用户指南和示例脚本,以最大限度地提高研究人员的可访问性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b65a/8080775/563efed78f84/41598_2021_87402_Fig1_HTML.jpg

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