Suppr超能文献

行为科学中的计算机动画技术:一种用于量化斑马鱼(Danio rerio)个性的顺序、自动且高通量的方法。

Computer Animation Technology in Behavioral Sciences: A Sequential, Automatic, and High-Throughput Approach to Quantifying Personality in Zebrafish (Danio rerio).

作者信息

Fangmeier Melissa L, Noble Daniel W A, O'Dea Rose E, Usui Takuji, Lagisz Malgorzata, Hesselson Daniel, Nakagawa Shinichi

机构信息

1 Evolution and Ecology Research Centre, School of Biological, Earth and Environmental Sciences, University of New South Wales , Sydney, Australia .

2 Diabetes and Metabolism Division, Garvan Institute of Medical Research , Sydney, Australia .

出版信息

Zebrafish. 2018 Apr;15(2):206-210. doi: 10.1089/zeb.2017.1532. Epub 2018 Jan 30.

Abstract

An emergent field of animal personality necessitates a method for repeated high-throughput quantification of behavioral traits across contexts. In this study, we have developed an automated video stimulus approach to sequentially present different contexts relevant to five "personality" traits (exploration, boldness, neophobia, aggression, and sociability), successfully quantifying repeatable trait measurements in multiple individuals simultaneously. Although our method is designed to quantify personality traits in zebrafish, our approach can accommodate the quantification of other behaviors, and could be customized for other species. All digital materials and detailed protocols are publicly available online for researchers to freely use and modify.

摘要

动物个性这一新兴领域需要一种方法,以便在不同情境下对行为特征进行重复的高通量量化。在本研究中,我们开发了一种自动视频刺激方法,用于依次呈现与五个“个性”特征(探索、大胆、新事物恐惧、攻击性和社交性)相关的不同情境,成功地同时对多个个体的可重复特征测量进行了量化。虽然我们的方法旨在量化斑马鱼的个性特征,但我们的方法可以适用于其他行为的量化,并且可以针对其他物种进行定制。所有数字材料和详细方案都在网上公开提供,供研究人员免费使用和修改。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验