Tools to Analyze Morphology and Spatially Mapped Molecular Data

分析形态学和空间映射分子数据的工具

基本信息

批准号：
8916055
负责人：
Joel H. Saltz
金额：
$ 72.24万
依托单位：
STATE UNIVERSITY NEW YORK STONY BROOK
依托单位国家：
美国
项目类别：
财政年份：
2014
资助国家：
美国
起止时间：
2014-09-01 至 2019-08-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/8916055
关键词：
3-Dimensional Anatomy Automobile Driving Biomedical Research Brain Neoplasms Cancer Research Project Chromosome Mapping Clinic Clinical Cloud Computing Collaborations Communities Complex Computer Simulation Computer software Data Databases Department of Energy Development Diagnostic Disease Distant Doctor of Philosophy Educational process of instructing Educational workshop Foundations Funding Genetic Genomics Grant Health Heterogeneity High Performance Computing Image Image Analysis Imagery Individual Informatics Institution Laboratories Lead Leadership Letters Link Malignant Neoplasms Malignant neoplasm of gastrointestinal tract Malignant neoplasm of lung Maps Medical Imaging Methods Microscopic Microscopy Molecular Molecular Genetics Morphology National Cancer Institute National Institute of Biomedical Imaging and Bioengineering Neoplasm Metastasis Ohio Outcome Pathology Pattern Performance Play Polyps Positioning Attribute Prevention Principal Investigator Proteomics Radiogenomics Radiology Specialty Research Research Infrastructure Research Personnel Resolution Resource Sharing Resources Role Running Science Shotguns Site Slice Slide Structure System The Cancer Genome Atlas Three-Dimensional Image Time Tissue Sample Tissues Training Support United States National Library of Medicine Universities Work anticancer research cancer Biomedical Informatics Grid cancer cell cancer imaging cohort colon cancer family registry design digital experience image archival system imaging modality in vivo imaging innovation instrument laser capture microdissection melanoma method development middleware next generation sequencing open source programs protein expression quantitative imaging reconstruction research and development response sialodacryoadenitis virus tool tool development tumor tumor initiation

项目摘要

DESCRIPTION (provided by applicant): This project is to develop, deploy, and disseminate a suite of open source tools and integrated informatics platform that will facilitate multi-scale, correlative analyses of high resolution whole slide tissue image data, spatially mapped genetics and molecular data for cancer research. This platform will play an essential role in supporting studies of tumor initiation, development, heterogeneity, invasion, and metastasis. These tools will allow quantitative analyses of the interplay between morphology and spatially mapped genetics and molecular data and will be used in studies that predict outcome and response to treatment, in radiogenomic and quantitative radiology imaging studies and in studies to identify cancer targets. The software and methods will enable researchers to assemble and visualize detailed, multi-scale descriptions of tissue morphologic changes originating from a wide range of microscopy instruments and make it possible to efficiently manage, interrogate, and explore microscopy imaging data at multiple scales and to identify and analyze features across individuals and cohorts. The project will build on and extend the software and methods we have developed in microscopy imaging, integrative image analysis, high performance computing, databases, and visualization over the past fifteen years and will also leverage, integrate and adapt the Harvard Slicer platform. The design and implementation of the informatics platform will be driven by four well funded, leading edge cancer focused studies along with many additional collaborative efforts including the Cancer Imaging Archive (TCIA), the Mayo Clinic Quantitative Imaging Network site, the Colon Cancer Family Registry and the Polyp Prevention Study.

描述（由申请人提供）：该项目旨在开发，部署和传播一套开源工具和集成信息学平台，这些平台将促进高分辨率高分辨率的多规模的，相关的分析整个滑动组织图像数据，空间映射的遗传学和分子映射癌症研究的数据。该平台将在支持肿瘤起始，发育，异质性，入侵和转移的研究中起着至关重要的作用。这些工具将允许对形态学和空间映射的遗传学和分子数据之间的相互作用进行定量分析，并将用于预测结果和对治疗的反应，放射基因组和定量放射学成像研究和研究以鉴定癌症靶标的研究。该软件和方法将使研究人员能够组装和可视化组织形态学变化的详细的多尺度描述，这些变化源自各种显微镜仪器，使得有可能有效地管理，询问，探索并探索多个尺度上的显微镜成像数据并识别显微镜成像数据并分析个人和人群之间的特征。该项目将在过去十五年中建立并扩展我们在显微镜成像，集成图像分析，高性能计算，数据库和可视化中开发的软件和方法，还将利用，集成和适应哈佛片平台。信息平台的设计和实施将由四个良好资助的，领先的领先癌症研究以及许多其他协作工作以及包括癌症成像档案（TCIA），梅奥诊所诊所定量成像网站，结肠癌家族登记和结肠癌家庭注册表和息肉预防研究。