Development /Applications Of Open Microscopy Environment
开放式显微镜环境的开发/应用
基本信息
- 批准号:6668443
- 负责人:
- 金额:--
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:
- 资助国家:美国
- 起止时间:至
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
The Open Microscopy Environment is a project started by Dr. Ilya Goldberg at MIT two years ago, in the group of Dr. Peter Sorger. The purpose is to develop an information framework for computational cell biology - a sub-specialty of bioinformatics called 'Image Informatics'. This open-source framework consists of a database, several analytic modules, and an application program interface (API) that ties the modules to the database. The database provides a semantic framework and a data model for biological information obtained by analyzing images. It also keeps track of the images themselves, and of all the analyses performed on them. The database is also the communication link between analysis modules permitting the multiplexing of analysis algorithms. Finally, the entire system provides a web-based user interface allowing for remote interaction. During the past 3 months, since Dr. Goldberg has established his new unit at the NIA, we have seen major developments in OME. 1) He has developed and published an XML Schema specifying an image file standard for biological light microscopy. 2) In collaboration with Dr. Jason Swedlow at the University of Dundee, we have demonstrated the functionality and flexibility of this system for performing 3-D particle identification and tracking in living cultured cells. 3) In collaboration with Drs. Brian DeDecker and Yan Fang of the Harvard Institute of Chemistry and Cell Biology, we have performed several automated cell-based imaging screens for small chemical compounds affecting neuronal outgrowth and nuclear import of transcription factors. Further information about OME is available at http://openmicroscopy.org.
开放显微镜环境是麻省理工学院的伊利亚·戈德伯格博士两年前在彼得·索格博士的团队中发起的一个项目。其目的是开发一个用于计算细胞生物学的信息框架--生物信息学的一个子专业,称为图像信息学。这个开源框架由一个数据库、几个分析模块和一个将模块绑定到数据库的应用程序接口(API)组成。该数据库为通过分析图像获得的生物信息提供了语义框架和数据模型。它还跟踪图像本身,以及对它们进行的所有分析。数据库也是分析模块之间的通信链路,允许分析算法的多路传输。最后,整个系统提供了一个基于Web的用户界面,允许远程交互。在过去的3个月里,自从Goldberg博士在NIA建立了他的新部门以来,我们看到了OME的重大发展。1)他开发并发布了一个XML模式,指定了用于生物光学显微镜的图像文件标准。2)与邓迪大学的Jason Swedlow博士合作,我们展示了该系统在活体培养细胞中执行3-D颗粒识别和跟踪的功能和灵活性。3)与哈佛大学化学与细胞生物学研究所的Brian DeDecker和阎芳博士合作,我们对影响神经元生长和转录因子核输入的小化合物进行了几种基于细胞的自动化成像筛选。欲了解更多有关ome的信息,请访问http://openmicroscopy.org.。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
David Schlessinger其他文献
David Schlessinger的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('David Schlessinger', 18)}}的其他基金
Aging-related Traits and Disease Risk Factors in a Sardinian Population Cohort
撒丁岛人群中的衰老相关特征和疾病危险因素
- 批准号:
7592038 - 财政年份:
- 资助金额:
-- - 项目类别:
Role Of Ectodysplasin-a In Skin Appendage Formation
外胚层增生素-a 在皮肤附属器形成中的作用
- 批准号:
8736579 - 财政年份:
- 资助金额:
-- - 项目类别:
Aging-related Traits and Disease Risk Factors in a Sardinian Population Cohort
撒丁岛人群中的衰老相关特征和疾病危险因素
- 批准号:
8736589 - 财政年份:
- 资助金额:
-- - 项目类别:
Role of Hyperplasia Suppressor Gene (HSG) in cell growth.
增生抑制基因 (HSG) 在细胞生长中的作用。
- 批准号:
9147302 - 财政年份:
- 资助金额:
-- - 项目类别:
Aging-related Traits and Disease Risk Factors in a Sardinian Population Cohort
撒丁岛人群中的衰老相关特征和疾病危险因素
- 批准号:
8335890 - 财政年份:
- 资助金额:
-- - 项目类别:
Role Of Ectodysplasin-a In Skin Appendage Formation
外胚层增生素-a 在皮肤附属器形成中的作用
- 批准号:
7732268 - 财政年份:
- 资助金额:
-- - 项目类别:
Developmental Genes in Sebaceous Glands and Keratinocytes
皮脂腺和角质形成细胞中的发育基因
- 批准号:
7732282 - 财政年份:
- 资助金额:
-- - 项目类别:
相似海外基金
Development of a real-time evaluation method using an AI-based image processing system in liver tumor ablaition
基于人工智能的图像处理系统开发肝脏肿瘤消融实时评估方法
- 批准号:
23K11923 - 财政年份:2023
- 资助金额:
-- - 项目类别:
Grant-in-Aid for Scientific Research (C)
Developing next-generation, AI-enabled, medical image processing for multiple sclerosis clinical trials and routine care.
开发用于多发性硬化症临床试验和日常护理的下一代人工智能医学图像处理。
- 批准号:
2877679 - 财政年份:2023
- 资助金额:
-- - 项目类别:
Studentship
Construction of big data analysis platform for fish behavior in the sea by image processing, change detection, and machine learning techniques
利用图像处理、变化检测、机器学习技术构建海洋鱼类行为大数据分析平台
- 批准号:
23K14005 - 财政年份:2023
- 资助金额:
-- - 项目类别:
Grant-in-Aid for Early-Career Scientists
CRII: SHF: RUI: Custom Hardware Accelerators for Privacy-Preserving Image Processing
CRII:SHF:RUI:用于保护隐私的图像处理的定制硬件加速器
- 批准号:
2347253 - 财政年份:2023
- 资助金额:
-- - 项目类别:
Standard Grant
Image Processing Techniques for the Segmentation, Fusion, and Registration of Ultrasound Images from Intracavitary Gynecologic Brachytherapy Procedures
用于腔内妇科近距离放射治疗过程中超声图像的分割、融合和配准的图像处理技术
- 批准号:
557687-2021 - 财政年份:2022
- 资助金额:
-- - 项目类别:
Postdoctoral Fellowships
Development of an Image Processing Algorithm to Customize Cochlear Implant Procedures
开发用于定制人工耳蜗植入程序的图像处理算法
- 批准号:
548003-2020 - 财政年份:2022
- 资助金额:
-- - 项目类别:
Alexander Graham Bell Canada Graduate Scholarships - Doctoral
Creating a Technological Infrastructure for the Digital Restoration of Cultural Properties Using Statistical Image Processing and Deep Learning
利用统计图像处理和深度学习为文化财产数字化修复创建技术基础设施
- 批准号:
22H00748 - 财政年份:2022
- 资助金额:
-- - 项目类别:
Grant-in-Aid for Scientific Research (B)
Development and utilization of digital / analog teaching materials using 3D image processing and 3D printers for biological education
利用3D图像处理和3D打印机进行生物教育的数字/模拟教材的开发和利用
- 批准号:
22K02988 - 财政年份:2022
- 资助金额:
-- - 项目类别:
Grant-in-Aid for Scientific Research (C)
I-Corps: Image processing platform to identify photosynthetic pigment density to measure nitrogen content and manage fertilizer (Smart Sustainable Fertilizer Manager)
I-Corps:图像处理平台,用于识别光合色素密度,测量氮含量并管理肥料(智能可持续肥料管理器)
- 批准号:
2227256 - 财政年份:2022
- 资助金额:
-- - 项目类别:
Standard Grant
Deep graphical models and methods for multi-modal biomedical image processing, analysis, and interpretation
用于多模态生物医学图像处理、分析和解释的深度图形模型和方法
- 批准号:
RGPIN-2018-03966 - 财政年份:2022
- 资助金额:
-- - 项目类别:
Discovery Grants Program - Individual