2012 CSHL Automated Imaging & High-Throughput Phenotyping Conference

2012 CSHL自动化成像

• 批准号: 8256871
• 负责人: DAVID J. STEWART
• 金额: $ 0.5万
• 依托单位: COLD SPRING HARBOR LABORATORY
• 依托单位国家: 美国
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-04-01 至 2013-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8256871
• 关键词: Acute; Address; Affect; Animals; Appearance; Area; Behavioral; Biology; Cells; Collaborations; Communities; Computer software; Consultations; Data; Development; Discipline; Disease susceptibility; Engineering; Ensure; Environment; Faculty; Fostering; Genes; Genome; Genome Mappings; Genotype; Image; Image Analysis; Imagery; Imaging Techniques; Individual; Industry; International; Laboratories; Learning; Length of Stay; Maps; Mathematics; Measures; Microscopy; Modeling; Modification; Nature; Oral; Organ; Organism; Participant; Phenotype; Physics; Plants; Population; Postdoctoral Fellow; Published Comment; Reagent; Research; Research Personnel; Schedule; Scientist; Senior Scientist; Technology; Translating; Woman; Work; abstracting; base; computer science; data mining; data modeling; genome sequencing; graduate student; human disease; improved; interest; laboratory facility; meetings; planetary Atmosphere; posters; preference; statistics; symposium; unpublished works

DESCRIPTION (provided by applicant): This proposal seeks support for the meeting on "AUTOMATED IMAGING AND HIGH TRHOUGHPUT" to be held at Cold Spring Harbor Laboratory April, 2012. The meeting will assemble leaders in the field, together with junior faculty, postdoctoral fellows and graduate students, to discuss the latest advances that make use of imaging for high throughput phenotype acquisition. This area is at the forefront of efforts to map genotype to phenotype. One of the major unresolved problems in biology is the relationship between genotype and phenotype. To accurately map genotype to phenotype will require detailed population-level information about both. While we will soon have the ability to rapidly determine the complete genomes of individuals in a population, we are limited by our ability to characterize their phenotypes. Efforts to address this disparity focus on increasing the throughput of phenotype acquisition. This usually involves the development of automated imaging capabilities. By their very nature, efforts in this field are highly interdisciplinary as tey bring together experimentalists, engineers and researchers from a range of quantitative disciplines. The meeting will include sessions on single cell phenotyping, developmental phenotyping, organ(ismal)/behavioral phenotyping, microscopy and technology, data mining, modeling, management, and visualization. Each session will be chaired by a leading scientist in the field. Oral presentations will be selected from submitted abstracts by the session chairs in consultation with the organizers. Selected speakers will include graduate students, postdoctoral fellows and junior faculty aiming for maximal inclusion of young investigators. Of special importance are the two poster sessions, where many participants can present their work in an atmosphere conducive to informal discussion. Additional senior investigators will be invited to highlight important or rapidly moving areas. The meeting will be of moderate size and we expect about 200 people to attend, the vast majority of whom will be presenting a poster or talk. PUBLIC HEALTH RELEVANCE: It will soon be possible to determine the genome sequence of an individual rapidly and inexpensively. How the information in the genome translates into changes in the functioning and appearance of an organism (which constitutes its phenotype) is far from clear. Phenotypic changes resulting from differences in the genome can be beneficial or harmful. In the case of human disease, there is much to be learned about how changes in different genes affect disease susceptibility. To understand how information in the genome maps to modifications in the phenotype will require the development of high-throughput means of measuring phenotypes. Because many phenotypic features of interest can be visualized, new and enhanced imaging techniques combined with automated imaging capabilities are at the vanguard of this emerging field. Research in this area brings together experimentalists, engineers and researchers from a range of quantitative disciplines. A meeting is proposed to be held at Cold Spring Harbor Laboratory in April 2012 entitled, "Automated Imaging & High-Throughput Phenotyping" that will bring together an interdisciplinary group of scientists to discuss cutting edge approaches and findings in this field.

描述（由申请人提供）： 本提案寻求对将于2012年4月在冷泉港实验室举行的“自动成像和高吞吐量”会议的支持。会议将汇集该领域的领导者，与初级教师，博士后研究员和研究生一起，讨论利用成像进行高通量表型采集的最新进展。这一领域处于基因型到表型映射的前沿。 生物学中一个尚未解决的主要问题是基因型和表型之间的关系。为了准确地将基因型映射到表型，需要关于两者的详细的群体水平信息。虽然我们很快就有能力快速确定种群中个体的完整基因组，但我们在表征其表型方面的能力受到限制。解决这一差距的努力侧重于增加 表型获取的通量。这通常涉及自动成像能力的开发。就其本质而言，这一领域的努力是高度跨学科的，因为他们汇集了来自一系列定量学科的实验学家，工程师和研究人员。 会议将包括有关单细胞表型、发育表型、器官（ismal）/行为表型、显微镜和技术、数据挖掘、建模、管理和可视化的会议。每次会议将由该领域的一位顶尖科学家主持。口头介绍将由会议主席与组织者协商从提交的摘要中选出。选定的演讲者将包括研究生，博士后研究员和初级教师，旨在最大限度地纳入年轻的研究人员。特别重要的是两次海报会议，许多与会者可以在有利于非正式讨论的气氛中介绍他们的工作。将邀请更多的高级调查员来突出重要或迅速变化的领域。会议将是中等规模，我们预计约有200人参加，其中绝大多数将提交海报或演讲。 公共卫生相关性：很快就有可能快速而廉价地确定个人的基因组序列。基因组中的信息如何转化为生物体的功能和外观（构成其表型）的变化还远不清楚。由基因组差异引起的表型变化可能是有益的，也可能是有害的。就人类疾病而言，关于不同基因的变化如何影响疾病易感性，还有很多东西需要了解。为了理解基因组中的信息如何映射到表型中的修饰，需要开发测量表型的高通量方法。由于许多感兴趣的表型特征可以可视化，新的和增强的成像技术结合自动成像能力是这一新兴领域的先锋。这一领域的研究汇集了来自一系列定量学科的实验学家，工程师和研究人员。建议于2012年4月在冷泉港实验室举行一次题为“自动成像和高重复表型分型”的会议，该会议将汇集一个跨学科的科学家小组，讨论该领域的尖端方法和发现。