3D Virtual Slide System for Creation and Analysis of Focusable Digital Slides
用于创建和分析可聚焦数字幻灯片的 3D 虚拟幻灯片系统
基本信息
- 批准号:7535847
- 负责人:
- 金额:$ 19.54万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2006
- 资助国家:美国
- 起止时间:2006-01-01 至 2010-08-31
- 项目状态:已结题
- 来源:
- 关键词:AddressAlgorithmsAlzheimer&aposs DiseaseAnimal WelfareApplications GrantsArchivesArtsAssesBibliographyBiteBrainBudgetsCompatibleComputer HardwareComputer softwareCountryDataDevelopmentDiseaseDocumentationEnsureEnvironmentEnvironmental ImpactEquipmentFeasibility StudiesFigs - dietaryFluorescent DyesFundingGenerationsGrantHawthorn plantHousingIACUCImageImaging DeviceInternationalInvestigationLabelManualsMethodsMicroscopeMicroscopyMovementNerve DegenerationNeurosciencesNoiseNumbersOperating SystemOpticsOther ResourcesPathogenesisPharmacologic SubstancePhasePositioning AttributePostdoctoral FellowPrincipal InvestigatorProceduresPublished CommentRangeReportingResearchResearch Ethics CommitteesResolutionResourcesSlideSmall Business Funding MechanismsSmall Business Innovation Research GrantSpecimenStagingStem Cell ResearchSystemTestingThree-Dimensional ImageThree-Dimensional ImagingTissuesTransgenic OrganismsValidationVertebratesVisible Human Projectabstractingbasecomputerizedcostdigitalexperienceexpirationextracellularfile formathuman subjectmedical schoolsmouse modelneurogenesisneuropsychiatryneurotoxicologynext generationprogramssoftware developmenttoolvibrationvirtual
项目摘要
DESCRIPTION (provided by applicant): Rigorous quantification methods of histological specimens have become a keystone in modern neuroscience such as investigations of neurogenesis, stem cell research, neurotransplantation, neurotoxicology, and the pathogenesis of neurodegenerative and neuropsychiatric diseases. Methods in current practice are not conducive to high-throughput studies because they are often manual and laborious to perform. There is a noticeable lack of computerized automated 3D quantitative histological analysis tools which can operate on large 3D image volumes. Furthermore, the widespread use of fluorescently labeled tissue sections imposes other limitations, particularly fading of fluorescent dyes, limited availability and tremendous costs of high-end confocal microscopes. We propose to develop a commercial system (Biolucida") to overcome this unsatisfactory situation. The core of Biolucida will be 3D virtual slides, which are digital representations (in X, Y and Z) of tissue specimens imaged through a microscope at the highest optical resolution. We will develop software for the acquisition, automated quantitative histological analysis, viewing, sharing and archiving of 3D virtual slides. As such, the use of Biolucida will fully surmount the aforementioned limitations. Consequently we expect that the launch of Biolucida will revolutionize the quantitative analysis of fluorescently labeled tissue sections in modern neuroscience.
描述(由申请人提供):组织学标本的严格定量方法已成为现代神经科学的基石,例如神经发生、干细胞研究、神经移植、神经毒理学以及神经退行性疾病和神经精神疾病的发病机制的研究。目前实践中的方法不利于高通量研究,因为它们通常是手动的,执行起来很费力。值得注意的是,缺乏可以在大的3D图像体积上操作的计算机化自动3D定量组织学分析工具。此外,荧光标记的组织切片的广泛使用施加了其他限制,特别是荧光染料的褪色、有限的可用性和高端共焦显微镜的巨大成本。我们建议开发一种商业系统(Biolucida)来克服这种不令人满意的情况。Biolucida的核心将是3D虚拟载玻片,这是通过显微镜以最高光学分辨率成像的组织标本的数字表示(X,Y和Z)。我们将开发用于采集、自动定量组织学分析、查看、共享和存档3D虚拟切片的软件。因此,Biolucida的使用将完全克服上述限制。因此,我们预计Biolucida的推出将彻底改变现代神经科学中荧光标记组织切片的定量分析。
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 }}
JACOB R GLASER其他文献
JACOB R GLASER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('JACOB R GLASER', 18)}}的其他基金
Microscope system for large scale optical imaging of neuronal activity using kilohertz frame rates
使用千赫兹帧速率对神经元活动进行大规模光学成像的显微镜系统
- 批准号:
10541683 - 财政年份:2022
- 资助金额:
$ 19.54万 - 项目类别:
System for Volumetric 2-photon Imaging of Neuroactivity Using Light Beads Microscopy
使用光珠显微镜对神经活动进行体积 2 光子成像的系统
- 批准号:
10755027 - 财政年份:2022
- 资助金额:
$ 19.54万 - 项目类别:
System for Volumetric 2-photon Imaging of Neuroactivity Using Light Beads Microscopy
使用光珠显微镜对神经活动进行体积 2 光子成像的系统
- 批准号:
10603310 - 财政年份:2022
- 资助金额:
$ 19.54万 - 项目类别:
Microscope system for large scale optical imaging of neuronal activity using kilohertz frame rates
使用千赫兹帧速率对神经元活动进行大规模光学成像的显微镜系统
- 批准号:
10384932 - 财政年份:2022
- 资助金额:
$ 19.54万 - 项目类别:
AI based system for longitudinal, repeated measure analyses of freely moving C. elegans worms
基于人工智能的系统,用于对自由移动的秀丽隐杆线虫进行纵向、重复测量分析
- 批准号:
10258638 - 财政年份:2021
- 资助金额:
$ 19.54万 - 项目类别:
Next generation axonal quantification and classification using AI
使用人工智能的下一代轴突量化和分类
- 批准号:
10698843 - 财政年份:2021
- 资助金额:
$ 19.54万 - 项目类别:
相似海外基金
DMS-EPSRC: Asymptotic Analysis of Online Training Algorithms in Machine Learning: Recurrent, Graphical, and Deep Neural Networks
DMS-EPSRC:机器学习中在线训练算法的渐近分析:循环、图形和深度神经网络
- 批准号:
EP/Y029089/1 - 财政年份:2024
- 资助金额:
$ 19.54万 - 项目类别:
Research Grant
CAREER: Blessing of Nonconvexity in Machine Learning - Landscape Analysis and Efficient Algorithms
职业:机器学习中非凸性的祝福 - 景观分析和高效算法
- 批准号:
2337776 - 财政年份:2024
- 资助金额:
$ 19.54万 - 项目类别:
Continuing Grant
CAREER: From Dynamic Algorithms to Fast Optimization and Back
职业:从动态算法到快速优化并返回
- 批准号:
2338816 - 财政年份:2024
- 资助金额:
$ 19.54万 - 项目类别:
Continuing Grant
CAREER: Structured Minimax Optimization: Theory, Algorithms, and Applications in Robust Learning
职业:结构化极小极大优化:稳健学习中的理论、算法和应用
- 批准号:
2338846 - 财政年份:2024
- 资助金额:
$ 19.54万 - 项目类别:
Continuing Grant
CRII: SaTC: Reliable Hardware Architectures Against Side-Channel Attacks for Post-Quantum Cryptographic Algorithms
CRII:SaTC:针对后量子密码算法的侧通道攻击的可靠硬件架构
- 批准号:
2348261 - 财政年份:2024
- 资助金额:
$ 19.54万 - 项目类别:
Standard Grant
CRII: AF: The Impact of Knowledge on the Performance of Distributed Algorithms
CRII:AF:知识对分布式算法性能的影响
- 批准号:
2348346 - 财政年份:2024
- 资助金额:
$ 19.54万 - 项目类别:
Standard Grant
CRII: CSR: From Bloom Filters to Noise Reduction Streaming Algorithms
CRII:CSR:从布隆过滤器到降噪流算法
- 批准号:
2348457 - 财政年份:2024
- 资助金额:
$ 19.54万 - 项目类别:
Standard Grant
EAGER: Search-Accelerated Markov Chain Monte Carlo Algorithms for Bayesian Neural Networks and Trillion-Dimensional Problems
EAGER:贝叶斯神经网络和万亿维问题的搜索加速马尔可夫链蒙特卡罗算法
- 批准号:
2404989 - 财政年份:2024
- 资助金额:
$ 19.54万 - 项目类别:
Standard Grant
CAREER: Efficient Algorithms for Modern Computer Architecture
职业:现代计算机架构的高效算法
- 批准号:
2339310 - 财政年份:2024
- 资助金额:
$ 19.54万 - 项目类别:
Continuing Grant
CAREER: Improving Real-world Performance of AI Biosignal Algorithms
职业:提高人工智能生物信号算法的实际性能
- 批准号:
2339669 - 财政年份:2024
- 资助金额:
$ 19.54万 - 项目类别:
Continuing Grant