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Track-a-worm,一个用于定量评估秀丽隐杆线虫运动和弯曲行为的开源系统。

Track-a-worm, an open-source system for quantitative assessment of C. elegans locomotory and bending behavior.

机构信息

University of Connecticut Health Center, Farmington, Connecticut, United States of America.

出版信息

PLoS One. 2013 Jul 26;8(7):e69653. doi: 10.1371/journal.pone.0069653. Print 2013.

Abstract

A major challenge of neuroscience is to understand the circuit and gene bases of behavior. C. elegans is commonly used as a model system to investigate how various gene products function at specific tissue, cellular, and synaptic foci to produce complicated locomotory and bending behavior. The investigation generally requires quantitative behavioral analyses using an automated single-worm tracker, which constantly records and analyzes the position and body shape of a freely moving worm at a high magnification. Many single-worm trackers have been developed to meet lab-specific needs, but none has been widely implemented for various reasons, such as hardware difficult to assemble, and software lacking sufficient functionality, having closed source code, or using a programming language that is not broadly accessible. The lack of a versatile system convenient for wide implementation makes data comparisons difficult and compels other labs to develop new worm trackers. Here we describe Track-A-Worm, a system rich in functionality, open in source code, and easy to use. The system includes plug-and-play hardware (a stereomicroscope, a digital camera and a motorized stage), custom software written to run with Matlab in Windows 7, and a detailed user manual. Grayscale images are automatically converted to binary images followed by head identification and placement of 13 markers along a deduced spline. The software can extract and quantify a variety of parameters, including distance traveled, average speed, distance/time/speed of forward and backward locomotion, frequency and amplitude of dominant bends, overall bending activities measured as root mean square, and sum of all bends. It also plots worm travel path, bend trace, and bend frequency spectrum. All functionality is performed through graphical user interfaces and data is exported to clearly-annotated and documented Excel files. These features make Track-A-Worm a good candidate for implementation in other labs.

摘要

神经科学的一个主要挑战是理解行为的电路和基因基础。秀丽隐杆线虫通常被用作模型系统,以研究各种基因产物如何在特定的组织、细胞和突触焦点发挥作用,从而产生复杂的运动和弯曲行为。该研究通常需要使用自动单虫跟踪器进行定量行为分析,该跟踪器不断以高倍放大率记录和分析自由移动蠕虫的位置和身体形状。已经开发了许多单虫跟踪器来满足实验室的特定需求,但由于硬件难以组装、软件功能不足、源代码封闭或使用不易访问的编程语言等原因,没有一种得到广泛实施。缺乏一个通用的系统,方便广泛实施,使得数据比较困难,并迫使其他实验室开发新的蠕虫跟踪器。在这里,我们描述了 Track-A-Worm,这是一个功能丰富、源代码开放且易于使用的系统。该系统包括即插即用的硬件(立体显微镜、数码相机和电动载物台)、用 Windows 7 中的 Matlab 编写的定制软件以及详细的用户手册。灰度图像自动转换为二进制图像,然后识别头部并沿着推导的样条线放置 13 个标记。该软件可以提取和量化多种参数,包括行进距离、平均速度、前进和后退运动的距离/时间/速度、主要弯曲的频率和幅度、作为均方根测量的整体弯曲活动以及所有弯曲的总和。它还绘制了蠕虫的行进路径、弯曲轨迹和弯曲频率谱。所有功能都通过图形用户界面执行,数据导出到带有清晰注释和文档的 Excel 文件。这些功能使 Track-A-Worm 成为在其他实验室实施的良好候选者。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c0cd/3724933/3d019c8edcd6/pone.0069653.g001.jpg

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