High throughput behavior monitoring and screening station for zebrafish larvae

斑马鱼幼体高通量行为监测筛选站

• 批准号: 8206696
• 负责人: Pierre R. Martineau
• 金额: $ 29.69万
• 依托单位: MARTINEAU & ASSOCIATES
• 依托单位国家: 美国
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-12-16 至 2013-11-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8206696
• 关键词: Adult; Animal Model; Area; Behavior; Behavior monitoring; Behavioral; Behavioral Genetics; Behavioral Sciences; Cells; Communities; Computer software; Data; Data Analyses; Development; Developmental Biology; Equipment; Exhibits; Fertilization; Fishes; Future; Genetic; Genetic Screening; Image; Individual; Internet; Kinetics; Larva; Length; Life; Lighting; Monitor; Movement; Narcolepsy; Nervous System Physiology; Neurosciences; Pattern; Performance; Phenotype; Pigments; Process; Records; Research; Resolution; Rest; Risk; Rotation; Running; Screening procedure; Shapes; Sleep; Specific qualifier value; Stream; System; Technology; Testing; Time; Validation; Video Recording; Visible Radiation; Zebrafish; base; brain behavior; computerized data processing; design; drug discovery; egg; improved; interest; manufacturing process; mutant; nervous system disorder; open source; prototype; public health relevance; relational database; statistics; teleost fish; tool; trend; usability

DESCRIPTION (provided by applicant): Zebrafish, a small diurnal teleost fish extensively used in developmental biology, is receiving increasing interest as an inexpensive, fast-reproducing animal model for the study of neurological disorders. Paired adults typically produce clutches of 50 to 200 eggs overnight. Young fish exhibit a spectrum of behavior wide enough to be used for behavior-based genetic or pharmacological screens of the type needed by high throughput tools for brain and behavior research. To date, the pace of progress has been hindered the fact that young fish are very small (approximately 7mm in length) and transparent; currently available monitoring tools are expensive, have limited precision, and require isolating individual fish in separate cells. Based on an original approach to capturing images using consumer grade video cameras, we have designed a concept (nicknamed "Zebratrack") and implemented an 8-tank prototype (tanks are Petri dish - shaped 30mL containers) of a video-recording station to monitor, screen and analyze clutches of zebrafish in group without requiring the isolation of individual fish. Zebratrack is capable of continuously recording multiple video streams in parallel over extended periods of time (several days) with sufficient resolution to track and analyze individual fish, so that behavioral trends as well as rare transient behaviors can be detected and analyzed. The system is extremely easy to use; in its current version, setting up a screen of eight 60-fish tanks takes just under 10 minutes. A real time mode enables live monitoring of the fish activity, and an analysis module generates data in a relational database; this data can be accessed using standard web technologies to retrieve data, run statistics, and replay image sequences. The proposed effort aims at expanding the initial capabilities of Zebratrack, at offering enhanced data analysis support, and at delivering an 80-tank system capable of screening in the order of 2400 fish in parallel. Based on the concepts proven with the prototype, we intend to build a high-bandwidth, powerful, robust, easy-to- use, open, scalable, highly-parallel screening station to support high throughput behavior screening and monitoring of zebrafish. We believe the resulting system will be an outstanding high throughput tool for brain and behavior research, as well as an invaluable screening platform for the neuroscience and behavioral science communities at large. PUBLIC HEALTH RELEVANCE: We have designed a prototype of a video-recording station to monitor, screen and analyze clutches of young zebrafish in group without requiring the isolation of individual fish. Based on the concepts proven with the prototype, we propose to build a high- bandwidth, powerful, robust, easy-to-use, open, scalable, highly-parallel screening station to support high throughput behavior screening and monitoring of zebrafish. We believe the resulting system will be an outstanding high throughput tool for brain and behavior research, as well as an invaluable genetic and pharmacological screening platform for the neuroscience and behavioral science communities at large.

描述（由申请人提供）：斑马鱼是一种广泛用于发育生物学的小型昼行性硬骨鱼，作为一种用于神经系统疾病研究的廉价、快速繁殖的动物模型而受到越来越多的关注。成对的成虫通常在一夜之间产下 50 至 200 个卵。幼鱼表现出的行为范围足够广泛，足以用于基于行为的遗传或药理学筛选，而这种筛选是大脑和行为研究的高通量工具所需的类型。迄今为止，由于幼鱼非常小（长度约7毫米）且透明，这一进展的步伐受到了阻碍；目前可用的监测工具价格昂贵，精度有限，并且需要将每条鱼隔离在单独的单元中。基于使用消费级摄像机捕获图像的原始方法，我们设计了一个视频记录站的概念（昵称“Zebratrack”）并实现了一个 8 罐原​​型（罐是培养皿形状的 30mL 容器）来监控，筛选和分析成群的斑马鱼，无需隔离单个鱼。 Zebratrack 能够在较长时间（几天）内连续并行记录多个视频流，并具有足够的分辨率来跟踪和分析单个鱼类，从而可以检测和分析行为趋势以及罕见的瞬态行为。该系统非常易于使用；在当前版本中，设置一个包含 8 个 60 条鱼缸的屏幕只需不到 10 分钟。实时模式可以实时监测鱼类活动，分析模块在关系数据库中生成数据；可以使用标准网络技术来访问这些数据，以检索数据、运行统计数据和重放图像序列。拟议的工作旨在扩展 Zebratrack 的初始功能，提供增强的数据分析支持，并提供一个能够并行筛选大约 2400 条鱼的 80 个水箱系统。基于原型验证的概念，我们打算建立一个高带宽、功能强大、稳健、易于使用、开放、可扩展、高度并行的筛选站，以支持斑马鱼的高通量行为筛选和监测。我们相信最终的系统将成为大脑和行为研究的杰出高通量工具，以及整个神经科学和行为科学界的宝贵筛选平台。 公共健康相关性：我们设计了一个视频记录站原型，用于监测、筛选和分析成群的幼斑马鱼，而不需要隔离单个鱼。基于原型验证的概念，我们建议建立一个高带宽、功能强大、稳健、易于使用、开放、可扩展、高度并行的筛选站，以支持斑马鱼的高通量行为筛选和监测。我们相信由此产生的系统将成为大脑和行为研究的杰出高通量工具，以及整个神经科学和行为科学界的宝贵遗传和药理学筛选平台。