DIGITAL VIDEO ANALYSIS SYSTEM FOR HOME CAGE BEHAVIOR

用于家笼行为的数字视频分析系统

• 批准号: 6538865
• 负责人: YIQING LIANG
• 金额: $ 45.55万
• 依托单位: CLEVER SYSTEMS, INC.
• 依托单位国家: 美国
• 财政年份: 1999
• 资助国家: 美国
• 起止时间: 1999-07-01 至 2003-12-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6538865
• 关键词: bioimaging /biomedical imaging; biomedical equipment development; computer data analysis; computer program /software; computer system design /evaluation; digital imaging; ethology; image processing; laboratory mouse; mathematical model; mathematics; video recording system; videotape /videodisc

There is a critical need for automated phenotyping of mutant mouse models that have grown out of recent advances in molecular biology. We propose to meet this need by developing a system for automated scoring of mouse behavior from video records of undisturbed mice in the home cage. Phase I funding resulted in excellent progress on identifying, tracking, and scoring mouse behavior, resulting in 93.5% accuracy in identifying five postures. Phase II funding is requested to extend this system to the entire behavioral repertoire of the mouse in the home cage and refine the algorithms used to identify, track and score mouse behavior with the aim of producing a marketable prototype product. Algorithms for segmenting mouse, tracking its position, identify its posture and behaviors will be developed. The validity of the results will be determined using comparison with human scoring of behavior. The sensitivity of the system will be explored by comparing the results of the prototype systems' analysis of mouse models of Down syndrome, glutaric acidemia (knock- out model) and over expression of purine metabolism genes (GART transgemic) with existing data from other forms of behavioral analysis. The proposed system will produce a major advance in the analysis of behavior and in the ability of investigators to detect novel phenotypes in genetically altered animals. The system will not only provide quantitative data on mouse behavior throughout the daily cycle, but will present the investigator with video clips of novel behaviors that it cannot identify, thus allowing the investigator to see abnormalities in behavior. The system will be efficient enough to be realized with readily available video and computer hardware. The team assembled for this project consists of computer scientists, experts in mathematical modeling, and an expert in mouse behavior has worked well together in Phase 1 and is uniquely prepared to succeed with this project. PROPOSED COMMERCIAL APPLICATION: This proposed research will not only create enormous benefits for the neuroscience and behavior research community including medical research institutes, universities, pharmaceutical companies, and hospitals and clinics who are conducting behavior study and analysis. But also find applications in the entire area of biology will be interested in the system to help them conduct research in such areas as genetic research, cancel research, HIV research, etc. It can be applied to human-computer interface and surveillance and monitoring areas.

有一个突变小鼠模型，已经成长出分子生物学的最新进展的自动化表型的迫切需要。我们建议，以满足这一需求，通过开发一个系统，从视频记录的不受干扰的小鼠在家里的笼子里的小鼠行为的自动评分。第一阶段的资金在识别、跟踪和评分小鼠行为方面取得了很好的进展，识别五种姿势的准确率达到93.5%。第二阶段的资金要求将该系统扩展到家庭笼中小鼠的整个行为库，并改进用于识别，跟踪和评分小鼠行为的算法，目的是生产可销售的原型产品。本论文将发展分割老鼠、追踪其位置、辨识其姿势与行为的演算法。结果的有效性将通过与人类行为评分的比较来确定。将通过比较原型系统对唐氏综合征、谷氨酸血症（敲除模型）和嘌呤代谢基因过表达（GART transgemic）的小鼠模型的分析结果与来自其他形式的行为分析的现有数据来探索系统的灵敏度。该系统将在行为分析和研究人员检测转基因动物新表型的能力方面取得重大进展。 该系统不仅将提供关于小鼠在整个日常周期中行为的定量数据，而且将向研究者呈现其无法识别的新行为的视频剪辑，从而允许研究者看到行为的异常。该系统将足够有效，可以用现成的视频和计算机硬件来实现。为这个项目组建的团队由计算机科学家、数学建模专家和一位老鼠行为专家组成，他们在第一阶段合作得很好，为这个项目的成功做好了独一无二的准备。拟定商业应用：这项拟议的研究不仅将为神经科学和行为研究界创造巨大的利益，包括医学研究机构，大学，制药公司，以及进行行为研究和分析的医院和诊所。而且还能在整个生物学领域找到应用感兴趣的系统，帮助他们进行研究，如基因研究、取消研究、艾滋病研究等，它可以应用于人机界面和监视和监控领域。