运动跟踪器:一种用于无脊椎动物模型生物自动运动分析的柔性系统

Q2 Neuroscience
Laurent Mouchiroud, Vincenzo Sorrentino, Evan G. Williams, Matteo Cornaglia, Michael V. Frochaux, Tao Lin, Amandine A. Nicolet-dit-Félix, Gopal Krishnamani, Tarik Ouhmad, Martin A.M. Gijs, Bart Deplancke, Johan Auwerx
{"title":"运动跟踪器:一种用于无脊椎动物模型生物自动运动分析的柔性系统","authors":"Laurent Mouchiroud,&nbsp;Vincenzo Sorrentino,&nbsp;Evan G. Williams,&nbsp;Matteo Cornaglia,&nbsp;Michael V. Frochaux,&nbsp;Tao Lin,&nbsp;Amandine A. Nicolet-dit-Félix,&nbsp;Gopal Krishnamani,&nbsp;Tarik Ouhmad,&nbsp;Martin A.M. Gijs,&nbsp;Bart Deplancke,&nbsp;Johan Auwerx","doi":"10.1002/cpns.17","DOIUrl":null,"url":null,"abstract":"<p>Phenotyping strategies in simple model organisms such as <i>D. melanogaster</i> and <i>C. elegans</i> are often broadly limited to growth, aging, and fitness. Recently, a number of physical setups and video tracking software suites have been developed to allow for accurate, quantitative, and high-throughput analysis of movement in flies and worms. However, many of these systems require precise experimental setups and/or fixed recording formats. We report here an update to the Parallel Worm Tracker software, which we termed the Movement Tracker. The Movement Tracker allows variable experimental setups to provide cross-platform automated processing of a variety of movement characteristics in both worms and flies and permits the use of simple physical setups that can be readily implemented in any laboratory. This software allows high-throughput processing capabilities and high levels of flexibility in video analysis, providing quantitative movement data on <i>C. elegans</i> and <i>D. melanogaster</i> in a variety of different conditions. © 2016 by John Wiley &amp; Sons, Inc.</p>","PeriodicalId":40016,"journal":{"name":"Current Protocols in Neuroscience","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2016-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1002/cpns.17","citationCount":"16","resultStr":"{\"title\":\"The Movement Tracker: A Flexible System for Automated Movement Analysis in Invertebrate Model Organisms\",\"authors\":\"Laurent Mouchiroud,&nbsp;Vincenzo Sorrentino,&nbsp;Evan G. Williams,&nbsp;Matteo Cornaglia,&nbsp;Michael V. Frochaux,&nbsp;Tao Lin,&nbsp;Amandine A. Nicolet-dit-Félix,&nbsp;Gopal Krishnamani,&nbsp;Tarik Ouhmad,&nbsp;Martin A.M. Gijs,&nbsp;Bart Deplancke,&nbsp;Johan Auwerx\",\"doi\":\"10.1002/cpns.17\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Phenotyping strategies in simple model organisms such as <i>D. melanogaster</i> and <i>C. elegans</i> are often broadly limited to growth, aging, and fitness. Recently, a number of physical setups and video tracking software suites have been developed to allow for accurate, quantitative, and high-throughput analysis of movement in flies and worms. However, many of these systems require precise experimental setups and/or fixed recording formats. We report here an update to the Parallel Worm Tracker software, which we termed the Movement Tracker. The Movement Tracker allows variable experimental setups to provide cross-platform automated processing of a variety of movement characteristics in both worms and flies and permits the use of simple physical setups that can be readily implemented in any laboratory. This software allows high-throughput processing capabilities and high levels of flexibility in video analysis, providing quantitative movement data on <i>C. elegans</i> and <i>D. melanogaster</i> in a variety of different conditions. © 2016 by John Wiley &amp; Sons, Inc.</p>\",\"PeriodicalId\":40016,\"journal\":{\"name\":\"Current Protocols in Neuroscience\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-10-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1002/cpns.17\",\"citationCount\":\"16\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Current Protocols in Neuroscience\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/cpns.17\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"Neuroscience\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current Protocols in Neuroscience","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/cpns.17","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Neuroscience","Score":null,"Total":0}
引用次数: 16

摘要

黑腹果蝇和秀丽隐杆线虫等简单模式生物的表型策略通常仅限于生长、衰老和适应性。最近,已经开发了许多物理设置和视频跟踪软件套件,以便对苍蝇和蠕虫的运动进行准确、定量和高通量的分析。然而,这些系统中的许多需要精确的实验设置和/或固定的记录格式。我们在此报告并行蠕虫跟踪器软件的更新,我们称之为运动跟踪器。运动跟踪器允许可变的实验设置来提供对蠕虫和苍蝇各种运动特征的跨平台自动化处理,并允许使用可以在任何实验室轻松实现的简单物理设置。该软件具有高通量处理能力和视频分析的高度灵活性,可在各种不同条件下提供秀丽隐杆线虫和黑腹果蝇的定量运动数据。©2016,作者:John Wiley&;股份有限公司。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Movement Tracker: A Flexible System for Automated Movement Analysis in Invertebrate Model Organisms

Phenotyping strategies in simple model organisms such as D. melanogaster and C. elegans are often broadly limited to growth, aging, and fitness. Recently, a number of physical setups and video tracking software suites have been developed to allow for accurate, quantitative, and high-throughput analysis of movement in flies and worms. However, many of these systems require precise experimental setups and/or fixed recording formats. We report here an update to the Parallel Worm Tracker software, which we termed the Movement Tracker. The Movement Tracker allows variable experimental setups to provide cross-platform automated processing of a variety of movement characteristics in both worms and flies and permits the use of simple physical setups that can be readily implemented in any laboratory. This software allows high-throughput processing capabilities and high levels of flexibility in video analysis, providing quantitative movement data on C. elegans and D. melanogaster in a variety of different conditions. © 2016 by John Wiley & Sons, Inc.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Current Protocols in Neuroscience
Current Protocols in Neuroscience Neuroscience-Neuroscience (all)
自引率
0.00%
发文量
0
期刊介绍: Current Protocols in Neuroscience is a one-stop resource for finding and adapting the best models and methods for all types of neuroscience experiments. Updated every three months in all formats, CPNS is constantly evolving to keep pace with the very latest discoveries and developments. A year of these quarterly updates is included in the initial CPNS purchase price.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信