Automation and Imaging

自动化和成像

• 批准号: 8470480
• 负责人: CAROLINE E SHAMU
• 金额: $ 21.5万
• 依托单位: HARVARD MEDICAL SCHOOL
• 依托单位国家: 美国
• 资助国家: 美国
• 起止时间: 至
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/8470480
• 关键词: Algorithms; Antibodies; Apoptosis; Automation; Biological Assay; Boston; Cells; Communities; Computer software; Detection; Education and Outreach; Genomic Library; Image; Image Analysis; Informatics; Libraries; Liquid substance; Malignant Neoplasms; Methods; Microscopy; Mitosis; Mitotic; Pathway interactions; Pharmacology; Play; Protein Analysis; Proteins; RNA Interference; Reagent; Regulation; Resources; Role; Running; Small Interfering RNA; Statistical Data Interpretation; Technology; Testing; base; computing resources; high throughput screening; human disease; instrument; investigator training; medical schools; programs; screening; small molecule; software development

We propose to establish an Automation and Imaging Core to provide reagents, instruments, and expertise for protein analysis, image analysis, high throughput screening, and lab automation for the Projects in this program. The Core will leverage staff, lab automation, small molecule screening, RNAi screening, and computational resources from the Harvard Medical School (HMS) ICCB-Longwood Screening Facility. Core B will also provide education and outreach to the Boston scientific community on new assay technologies and best practices in running small molecule and RNAi screens. Specific Aims for this Core are: 1. Develop standardized methods for quantitative analysis of proteins, including multiplexed bead-based detection methods, in-cell Western assays, and protein antibody arrays. 2. Support high throughput screening of compound libraries and of genome-scale siRNA libraries by the Projects. This includes liquid handling, assay readout, statistical analysis of data, and informatics support. 3. Provide expertise and resources for imaging and image analysis, including support for automated microscopy, obtaining/testing image analysis software, training investigators in the use of analysis software, and development of new image analysis algorithms. 4. Provide lab automation resources and expertise for cell-based and pure protein assays.

我们建议建立一个自动化和成像中心，提供试剂、仪器和专业知识 用于蛋白质分析、图像分析、高通量筛选和实验室自动化， 程序.核心将利用员工，实验室自动化，小分子筛选，RNAi筛选， 来自哈佛医学院（HMS）ICCB-Longwood筛选设施的计算资源。核心 B还将向波士顿科学界提供有关新分析技术的教育和推广 以及运行小分子和RNAi筛选的最佳实践。 该核心的具体目标是： 1.开发蛋白质定量分析的标准化方法，包括基于多重珠粒的 检测方法、细胞内Western测定和蛋白质抗体阵列。 2.支持化合物文库和基因组规模siRNA文库的高通量筛选， 项目这包括液体处理、测定读数、数据统计分析和信息学支持。 3.为成像和图像分析提供专业知识和资源，包括支持自动化 显微镜，获得/测试图像分析软件，培训研究人员使用分析软件， 以及新的图像分析算法的开发。 4.为基于细胞和纯蛋白质的分析提供实验室自动化资源和专业知识。