Automated Neuron Tracing and 3D Reconstruction Software
Automated Neuron Tracing and 3D Reconstruction Software
批准号:
7798417
负责人:
JACOB R GLASER
金额:
$74.32万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2004
资助国家:
美国
项目状态:
已结题
起止时间:
2004-08-01 至 2012-11-30
关键词:
AlgorithmsArchitectureCell physiologyClassificationComputer softwareDataData SetDendritic SpinesDetectionDevelopmentDimensionsElementsFluorescence MicroscopyGoldGolgi ApparatusHandHousingImageImageryImpaired cognitionIndividualInformation StorageInvestigationLabelLearningLicensingManualsMapsMarketingMemoryMethodsMicroscopeMicroscopicMorphologyNeurodegenerative DisordersNeuronsNeurosciencesNeurosciences ResearchPathway AnalysisPhasePhysiologicalPreventionProcessResearchResearch InstituteResearch PersonnelSamplingScientistSlideSmall Business Innovation Research GrantSpeedStaining methodStainsStructureTechniquesTechnologyTimeTissuesVertebral columnWorkbasecell typeimage reconstructionimaging modalityinnovationinterestpublic health relevancereconstructionrelating to nervous systemresearch and developmentresearch studysoftware developmentsoftware systemssuccesstissue preparationtooltwo-photonvalidation studies
中文摘要
描述(由申请人提供):我们建议开发NeuroAutomatica,一个创新的自动化神经元重建软件平台,为神经元结构的自动定量分析提供分析工具。该软件将提供多个近距离单个神经元的多标量信息,包括树突棘。提供这种创新功能将有助于神经退行性疾病、学习和记忆等重要领域的研究。NeuroAutomatica将能够对目前无法获得的神经元结构进行复杂而详细的分析。此外,它将通过自动化一些分析来加快研究技术的步伐,而这些分析现在都是手工进行的。
英文摘要
DESCRIPTION (provided by applicant): We propose to develop NeuroAutomatica, an innovative, automated neuron reconstruction software platform that provides analysis tools for automated quantitative analysis of neuronal structure. The software will provide multi-scalar information about multiple individual neurons in close proximity, including dendritic spines. Providing this innovative functionality will help research in important fields such as neurodegenerative diseases, learning, and memory. NeuroAutomatica will enable sophisticated and detailed analysis of neuronal structure that is currently unavailable. Furthermore, it will increase the pace of research technology by automating some analyses which are now painstakingly manually performed.
PUBLIC HEALTH RELEVANCE: Recent research has pointed to the importance of the smallest element of a neuron's architecture-the dendritic spine-where it is hypothesized that critical structural changes occur to underlie changes in cellular function responsible for processing a continuous influx and storage of information. Thus, dendritic spines have become a central target in research focusing on learning and memory and, in particular, on the prevention of cognitive decline in neurodegenerative diseases. Furthermore, new advances in imaging and physiological experiments have led to investigations into neuronal circuits. Our proposed software will enable the structural analysis of these networks. NeuroAutomatica will accelerate the pace of discovery and understanding in basic neuroscience research by providing an observer independent software system capable of accurately and efficiently reconstructing neurons, including dendritic spines, in dense networks.
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会议论文
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