Automated 3D quantitative analysis of dendritic spines imaged with light microscopy
使用光学显微镜成像的树突棘的自动 3D 定量分析
基本信息
- 批准号:9356578
- 负责人:
- 金额:$ 79.99万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2016
- 资助国家:美国
- 起止时间:2016-09-22 至 2019-07-31
- 项目状态:已结题
- 来源:
- 关键词:AgingAlzheimer&aposs DiseaseAmyotrophic Lateral SclerosisAnimalsAreaAstrocytesBiotechnologyBostonBrainBrain DiseasesCentral Nervous System DiseasesChildhoodClassificationCollaborationsCommunitiesComplexComputer softwareDendritic SpinesDevelopmentDimensionsDown SyndromeElementsFinancial compensationFour-dimensionalFragile X SyndromeFrequenciesGeneral HospitalsGermanyGoalsGrantHourHumanHuntington DiseaseImageInstitutesInvestigationLeadLearningLifeManualsMapsMassachusettsMedical centerMedicineMemoryMemory impairmentMicrogliaModelingMorphologic artifactsMorphologyMotionMultiphoton Fluorescence MicroscopyMusNervous System PhysiologyNeurogliaNeurologicNeurologyNeurosciencesNeurosciences ResearchNew YorkParkinson DiseasePathologicPathologyPharmacologyPhasePhysiologicalPlayPoliciesPositioning AttributePrionsProductionReproducibilityResearchResearch PersonnelRett SyndromeRoleSchizophreniaSenile PlaquesShapesSiteSmall Business Innovation Research GrantSocietiesStrokeSystemTechnologyTestingThree-Dimensional ImageTimeUnited States National Institutes of HealthUniversitiesValidationVertebral columnautism spectrum disorderbasebrain dysfunctiondensitydevelopmental diseaseimprovedin vivoinnovationlight microscopymedical schoolsmicroscopic imagingmouse modelneuropathologynew technologynovelresearch and developmentsoftware developmenttime intervaltooltreatment strategyusability
项目摘要
Abstract
This project aims to develop a novel system, Spines InvestigatorTM, for performing automated four-dimensional
(4D) quantitative analysis of changes in dendritic spine morphology on three-dimensional (3D) microscopic
images acquired with in vivo multiphoton fluorescence microscopy at different time points. The role of dendritic
spines is one of the most active and important areas of neuroscience research. Plasticity of dendritic spine
morphology plays a crucial role throughout life - in development, aging, as well as in learning and memory.
Also, many complex brain diseases, including autism spectrum disorders, schizophrenia, Down syndrome,
Alzheimer's disease, Parkinson's disease, Huntington's disease, amyotrophic lateral sclerosis and stroke, are
characterized by dendritic spine pathology including abnormal dendritic spine density and morphology,
dendritic spine loss, and aberrant dendritic spine plasticity. While it is not possible to study the plasticity of
dendritic spine morphology in the human brain in vivo, it is possible in mouse models of complex human brain
diseases. However, the study of these mouse models remains a tedious and cumbersome endeavor because
tools for automated 4D dendritic spine quantitative analysis are not available. Critical steps that are currently
performed manually in such investigations may lead to faulty and irreproducible results, which does not
conform with NIH's rigor and transparency policy. Spines Investigator will help solve this untenable situation
with a number of distinct innovations. Specifically, Spines Investigator will comprise novel technology that
enables the automated comparison of dendritic spine morphology on 3D images acquired with in vivo
multiphoton fluorescence microscopy in the brain of a mouse at precisely the same site at different time points.
It will also enable new research that combines 4D in vivo quantitative analysis of changes in dendritic spine
morphology with the analysis of amyloid plaques (in Alzheimer's disease), as well as analysis of microglia and
astrocytes . To create this new solution for automated 4D in vivo quantitative analysis of dendritic spine
morphology, Spines Investigator will build upon our Neurolucida360® technology developed during Phase II
(SBIR Fast-track Grant MH093011). We will develop Spines Investigator as a tested, validated, supported and
fully documented system. The benefit for the neuroscience research community, pharmacological and
biotechnological research and development, and society in general will be to better understand the critical role
of the plasticity of dendritic spine morphology in the brain under various physiological and pathological
conditions. In particular, this will result in an improved basis for developing novel treatment strategies for
complex brain diseases.
抽象的
该项目旨在开发一种新颖的系统 Spines InvestigatorTM,用于执行自动化四维
(4D)三维(3D)显微镜下树突棘形态变化的定量分析
使用体内多光子荧光显微镜在不同时间点获取的图像。
树突棘的可塑性是神经科学研究最活跃和最重要的领域之一。
形态学在整个生命过程中发挥着至关重要的作用——在发育、衰老以及学习和记忆中。
此外,许多复杂的脑部疾病,包括自闭症谱系障碍、精神分裂症、唐氏综合症、
阿尔茨海默病、帕金森病、亨廷顿病、肌萎缩侧索硬化症和中风是
以树突棘病理学为特征,包括异常的树突棘密度和形态,
树突棘损失和异常树突棘可塑性虽然不可能研究树突棘的可塑性。
人脑体内的树突棘形态,在复杂人脑的小鼠模型中是可能的
然而,对这些小鼠模型的研究仍然是一项乏味且麻烦的工作,因为
目前还没有用于自动 4D 树突棘定量分析的工具。
在此类调查中手动执行可能会导致错误和不可重现的结果,这不会
符合 NIH 严格和透明政策的 Spines Investigator 将有助于解决这一难以为继的情况。
具体来说,Spines Investigator 将包含多项独特的创新技术。
能够自动比较体内 3D 图像上的树突棘形态
多光子荧光显微镜在小鼠大脑的不同时间点的同一部位进行观察。
它还将使结合树突棘变化的 4D 体内定量分析的新研究成为可能
通过淀粉样斑块分析(阿尔茨海默病)进行形态学分析,以及小胶质细胞和
创建用于树突棘自动 4D 体内定量分析的新解决方案。
Spines Investigator 将基于我们在第二阶段开发的 Neurolucida360® 技术
(SBIR 快速通道拨款 MH093011)我们将开发 Spines Investigator 作为经过测试、验证、支持和支持的工具。
完整记录的系统对神经科学研究界、药理学和
生物技术研究和开发以及整个社会将更好地理解其关键作用
不同生理和病理条件下大脑树突棘形态的可塑性研究
特别是,这将为开发新的治疗策略奠定基础。
复杂的脑部疾病。
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)
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Paul Angstman其他文献
Paul Angstman的其他文献
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{{ truncateString('Paul Angstman', 18)}}的其他基金
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使用人工智能的下一代轴突量化和分类
- 批准号:
10609151 - 财政年份:2022
- 资助金额:
$ 79.99万 - 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
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10324805 - 财政年份:2021
- 资助金额:
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Neuroinformatics platform using machine learning and content-based image retrieval for neuroscience image data
使用机器学习和基于内容的图像检索来检索神经科学图像数据的神经信息学平台
- 批准号:
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- 资助金额:
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- 批准号:
10251140 - 财政年份:2018
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$ 79.99万 - 项目类别:
Automated 3D quantitative analysis of dendritic spines imaged with light microscopy
使用光学显微镜成像的树突棘的自动 3D 定量分析
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9255387 - 财政年份:2016
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用于神经可塑性的先进自动化 3D 微血管分析系统
- 批准号:
8592455 - 财政年份:2013
- 资助金额:
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System for advanced automated 3D microvascular analysis in neuroplasticity
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$ 79.99万 - 项目类别:
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使用光学显微镜成像的树突棘的自动 3D 定量分析
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