Automated 3D quantitative analysis of dendritic spines imaged with light microsco
Automated 3D quantitative analysis of dendritic spines imaged with light microsco
批准号:
8616218
负责人:
PATRICK R HOF
金额:
$59.98万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2012
资助国家:
美国
项目状态:
已结题
起止时间:
2012-01-12 至 2016-03-31
关键词:
AccelerationAddressAgaricalesAlgorithmsAnatomyAutistic DisorderAutomationBenchmarkingBiomedical ResearchBrainCentral Nervous System DiseasesClassificationCodeCollaborationsCommunitiesComplexComputer softwareDendritesDendritic SpinesDetectionDrug abuseElementsFilopodiaGoalsHeadImageImage AnalysisImpaired cognitionInformation StorageKnowledgeLabelLaboratoriesLearningLightMaintenanceMarketingMemoryMental disordersMicroscopeMicroscopicModelingMorphologic artifactsMorphologyMotionNational Institute of Mental HealthNeuraxisNeurobiologyNeurodegenerative DisordersNeuronsNeurosciencesNeurosciences ResearchNew YorkPerformancePhasePhysiologicalPreventionProceduresProcessProviderResearchResearch PersonnelResearch SupportSchizophreniaShapesSliceSlideSocietiesStructureSynapsesTNFRSF5 geneTechniquesTechnologyTestingThree-Dimensional ImageTissuesVertebral columnWritingbaseimprovedin vivoinnovationinterestmedical schoolsnovelportabilityprogramsprototypereconstructionsoftware developmenttissue preparationtooltreatment strategyvalidation studiesvirtual
中文摘要
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英文摘要
DESCRIPTION (provided by applicant): In this Lab to Marketplace proposal, we aim to develop the MBF SpineStudio software incorporating the innovative, laboratory-based NeuronStudio software created at the Mount Sinai School of Medicine. Our SpineStudio software will enable automated detection, reconstruction and morphological classification of the structural analysis of dendritic spines. By creating this commercial software, we will improve the existing technology by providing validated, supported, and fully-documented software for automated 3D quantitative dendritic spine analysis. This software will integrate the specific advantages of the NeuronStudio software for a combination of neuron labeling, imaging (including in vivo), and image pre- processing techniques applied by the user without requiring expert knowledge in software programming. The software product will offer automated detection, reconstruction, and separate classification of complex spines (cup-shaped, multi-headed or branched, filopodia). Providing this innovative functionality will help research in important fields such as neurodegenerative diseases, learning, and memory.
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会议论文
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