VizCOM: A Novel Tool for Advanced Visualization and Analysis of Cardiac Optical Mapping Data.

Christopher Chiu, Grayson Molesworth, Mikael Toye, Elizabeth M Cherry, Flavio H Fenton
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Abstract

Cardiac optical mapping is the state of the art used for quantifying cardiac spatiotemporal dynamics, with recent advances enabling high-quality recordings from high-resolution CMOS cameras at relatively low prices ($500). Analyzing the large data sets to extract quantitative information is now a bottleneck. We developed VizCOM, a highly interactive feature-rich Python-based tool for visualizing and analyzing cardiac optical mapping data that works on Windows and MacOS. VizCOM can process very long (minutes) voltage or simultaneous voltage-calcium recordings from various cameras. A mask can be drawn to isolate a region of interest, and the signal from any pixel can be displayed by moving the mouse over the image. Filtering methods available include stacking and baseline drift removal. Activation maps (colors/isochrones) for wave fronts/backs can be displayed. Plots of action potential duration (APD) vs. diastolic interval for all pixels and of APD dispersion across the whole tissue can be shown for each beat, as well as ΔAPD plots for alternans. APD also can be calculated for a line drawn across the tissue to analyze alternans. All values can be saved, including histograms of APD spatial distributions, APD restitutions, and movies of activation sequences. Overall, VizCOM provides comprehensive high-level support for visualization and analysis of cardiac optical-mapping signals.

VizCOM:一种用于心脏光学测绘数据高级可视化和分析的新工具。
心脏光学测绘是用于量化心脏时空动态的最先进技术,最近的进展使高分辨率CMOS相机以相对较低的价格(500美元)实现高质量的记录。分析大数据集以提取定量信息是目前的一个瓶颈。我们开发了VizCOM,这是一个基于python的高度交互式功能丰富的工具,用于可视化和分析心脏光学映射数据,适用于Windows和MacOS。VizCOM可以处理很长时间(几分钟)的电压或同时从各种摄像机的电压钙记录。可以绘制掩模来隔离感兴趣的区域,并且可以通过在图像上移动鼠标来显示来自任何像素的信号。可用的滤波方法包括叠加和基线漂移去除。可以显示波前/波后的激活图(颜色/等时线)。所有像素点的动作电位持续时间(APD)与舒张期间的图,以及APD在整个组织中的弥散度的图,都可以在每次跳动时显示,以及ΔAPD交替图。APD也可以通过在组织上画一条线来计算,以分析交替。所有值都可以保存,包括APD空间分布直方图,APD恢复,激活序列电影。总体而言,VizCOM为心脏光学测绘信号的可视化和分析提供了全面的高级支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
1.10
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