Automated analysis of two-dimensional positions and body lengths of earthworms (Oligochaeta); MimizuTrack.
Automated analysis of two-dimensional positions and body lengths of earthworms (Oligochaeta); MimizuTrack.
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DOI：
10.1371/journal.pone.0097986
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发表时间：
2014
期刊：
影响因子：
3.7
通讯作者：
Ikeno H
中科院分区：
文献类型：
--
作者：
Kodama N;Kimura T;Yonemura S;Kaneda S;Ohashi M;Ikeno H
蚯蚓是一种重要的土壤大型动物，几乎存在于所有生态系统中。它们的生物量很大，它们对土壤的挖洞和摄食改变了土壤的理化性质。蚯蚓生物量大，被认为是“土壤健康”的指标。然而，主要由于难以量化它们的行为，它们对土壤物质流动动力学和土壤健康的影响程度知之甚少。在图像处理工具的辅助下，图像数据是量化物体运动的有力工具。图像数据集通常非常大，分析起来非常耗时，尤其是在连续记录和手动处理的情况下。我们的目标是开发一个系统，从录像中量化蚯蚓的运动。我们新开发的程序成功地跟踪了蚯蚓三个独立部分的二维位置，同时输出了蚯蚓体长的变化。根据输出的数据，我们计算出了蚯蚓的运动速度。我们的程序处理图像数据的速度比手动跟踪系统快三倍。到目前为止，还没有现有的系统可以从连续记录的图像数据中量化蚯蚓的活动。与人工数据输入相比，本研究开发的系统将减少输入时间的三分之一，并将减少量化大型数据集所涉及的错误。此外，它将提供更可靠的测量值，尽管该计划仍然是一个原型，需要进一步的测试和改进。结合其他技术，如测量蚯蚓体内的代谢气体排放，该程序可以在实验室条件下连续观察蚯蚓对环境变量的反应。在未来，这种标准化的方法将应用于其他动物，蚯蚓的量化运动将被纳入土壤物质流动动力学模型或对土壤中存在的化学物质的响应行为。
Earthworms are important soil macrofauna inhabiting almost all ecosystems. Their biomass is large and their burrowing and ingestion of soils alters soil physicochemical properties. Because of their large biomass, earthworms are regarded as an indicator of “soil heath”. However, primarily because the difficulties in quantifying their behavior, the extent of their impact on soil material flow dynamics and soil health is poorly understood. Image data, with the aid of image processing tools, are a powerful tool in quantifying the movements of objects. Image data sets are often very large and time-consuming to analyze, especially when continuously recorded and manually processed. We aimed to develop a system to quantify earthworm movement from video recordings. Our newly developed program successfully tracked the two-dimensional positions of three separate parts of the earthworm and simultaneously output the change in its body length. From the output data, we calculated the velocity of the earthworm's movement. Our program processed the image data three times faster than the manual tracking system. To date, there are no existing systems to quantify earthworm activity from continuously recorded image data. The system developed in this study will reduce input time by a factor of three compared with manual data entry and will reduce errors involved in quantifying large data sets. Furthermore, it will provide more reliable measured values, although the program is still a prototype that needs further testing and improvement. Combined with other techniques, such as measuring metabolic gas emissions from earthworm bodies, this program could provide continuous observations of earthworm behavior in response to environmental variables under laboratory conditions. In the future, this standardized method will be applied to other animals, and the quantified earthworm movement will be incorporated into models of soil material flow dynamics or behavior in response to chemical substances present in the soil.
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影响因子：
3.7
作者：
Colomb J;Reiter L;Blaszkiewicz J;Wessnitzer J;Brembs B
通讯作者：
Brembs B
影响因子：
6.1
作者：
LIGTHART, TN;PEEK, GJWC;TABER, EJ
通讯作者：
TABER, EJ
影响因子：
3.7
作者：
Kimura T;Ohashi M;Crailsheim K;Schmickl T;Okada R;Radspieler G;Ikeno H
通讯作者：
Ikeno H
影响因子：
6.1
作者：
JOSCHKO, M;MULLER, PC;LARINK, O
通讯作者：
LARINK, O
DOI：
10.1098/rsif.2010.0230
发表时间：
2011-03-06
期刊：
Journal of the Royal Society, Interface
影响因子：
--
作者：
Straw AD;Branson K;Neumann TR;Dickinson MH
通讯作者：
Dickinson MH