LARGE SCALE TISSUE MAPS INCORPORATING MULTI-RESOLUTION LM-EM DATA
LARGE SCALE TISSUE MAPS INCORPORATING MULTI-RESOLUTION LM-EM DATA
批准号:
7601042
负责人:
Mark H Ellisman
金额:
$11.94万
依托单位国家:
美国
项目类别:
财政年份:
2007
资助国家:
美国
项目状态:
已结题
起止时间:
2007-05-01 至 2008-04-30
关键词:
Animal Disease ModelsAreaBiomedical Informatics Research NetworkBrainBrain MappingBrain imagingCellsComplexComputer Retrieval of Information on Scientific Projects DatabaseConfocal MicroscopyDataDatabasesDendritesDevice or Instrument DevelopmentElectron MicroscopyElectronsEngineeringEnvironmentFunctional ImagingFundingGrantImageInjection of therapeutic agentInstitutionLasersLightLinkMapsMethodsMicroanatomyMicroscopicNeuronsOpticsPreparationResearchResearch PersonnelResolutionResourcesScanningSourceSpecimenStructureSynapsesSystemTechniquesTechnologyTissuesUnited States National Institutes of Healthbrain tissuemethod developmentprogramsprotein distributionreconstructiontechnology developmenttomographytool
中文摘要
这个子项目是许多研究子项目中利用
资源由NIH/NCRR资助的中心拨款提供。子项目和
调查员(PI)可能从NIH的另一个来源获得了主要资金,
并因此可以在其他清晰的条目中表示。列出的机构是
该中心不一定是调查人员的机构。
继续开发技术,以帮助填补从亚细胞水平到整个大脑的大规模脑组织研究中至关重要的分辨率空白。要跨越这些尺度,需要使用多种成像仪器,并开发在不同技术之间进行相关成像的方法。然而,与研发核心区4A.1.2不同的是,在这里,相关的光和电子显微镜指向更大的范围,在大脑显微解剖的亚细胞领域和整个大脑成像的总体结构水平之间架起桥梁。这些技术将被广泛应用于支持遗传工程疾病动物模型的结构研究。这些技术正在帮助推动与生物医学信息学研究网络(BIRN)计划一起开发的多分辨率和多尺度数据探索环境的创建。他们还将支持涉及相关结构和功能成像的项目,这些结构包括相对较大的结构,如突触复合体和带刺的树突。这一核心领域的主要目标是:
1.使用激光扫描多光子显微镜和共聚焦显微镜创建在光光学系统分辨率极限或接近分辨率极限时记录的大比例脑图
2.细胞内注射结合免疫标记定位已鉴定神经元上蛋白质的分布。
3.继续发展相关光学显微镜和电子显微镜的方法以及使用连续断层摄影术对刺状树枝状结构进行大规模电子显微镜重建的样品制备要求
根据本节获得的所有数据将被完全记录下来,并使用核心研发3A.2中进一步描述的工具链接到公共坐标系,以包括在以单元为中心的数据库中。
英文摘要
This subproject is one of many research subprojects utilizing the
resources provided by a Center grant funded by NIH/NCRR. The subproject and
investigator (PI) may have received primary funding from another NIH source,
and thus could be represented in other CRISP entries. The institution listed is
for the Center, which is not necessarily the institution for the investigator.
To continue the development of technologies to aid in filling in the resolution gaps of critical importance in the large-scale study of brain tissue, from the subcellular level up through the whole brain. Traversing these scales requires the use of multiple imaging instruments and the development of methods for performing correlated imaging between technologies. Unlike TR&D Core Area 4A.1.2, however, here the correlated light and electron microscopies are directed towards a much larger scale, bridging between the subcellular realm of brain microanatomy and the gross structural level of whole brain imaging. These techniques will be employed extensively in support of structural studies on genetically engineered animal models of disease. These techniques are helping to drive the creation of a multi-resolution and multi-scale data exploration environment being developed in conjunction with the Biomedical Informatics Research Network (BIRN) program. They will also support projects involving correlated structural and functional imaging of relatively large structures like synaptic complexes and spiny dendrites. The main objectives of this core area are:
1. the creation of large scale brain maps recorded at or near to the resolution limits of light optical systems using laser-scanning multiphoton and confocal microscopy
2. intracellular injection of cells combined with immunolabeling for mapping the distribution of proteins on identified neurons
3. continued development of methods for correlated light and electron microscopy and specimen preparation requirements for large scale electron microscopic reconstruction of structures like spiny dendrites using serial tomography
All data acquired under this section will be fully documented and linked to a common coordinate system using tools further described in Core TR&D 3A.2 for inclusion in the Cell Centered Database.
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科研奖励(0)
会议论文
200keV, Energy Filtered, Intermediate-High Voltage Transmission Electron Microscope(IVEM)"
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3D Reconstruction and Analysis of Alzheimer's Patient Biopsy Samples to Map and Quantify Hallmarks of Pathogenesis and Vulnerability
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依托单位:
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