Cell type atlasing of whole human brains using HOLiS: an optimized pipeline for staining, clearing, imaging, and analysis
Cell type atlasing of whole human brains using HOLiS: an optimized pipeline for staining, clearing, imaging, and analysis
批准号:
10377810
负责人:
Elizabeth M. C. Hillman
金额:
$912.19万
依托单位国家:
美国
项目类别:
财政年份:
2021
资助国家:
美国
项目状态:
已结题
起止时间:
2021-09-22 至 2024-09-21
关键词:
3-DimensionalAlgorithmsAnatomyAtlasesAutopsyBase of the BrainBehaviorBenchmarkingBig DataBrainBrain MappingBrain imagingCellsChemicalsCognitionCollectionComplementComplexCosts and BenefitsDataData AnalysesData SetDevelopmentEmotionsEnsureEquilibriumFoundationsFutureGeneticGoalsHeterogeneityHistologicHumanImageImage AnalysisImaging technologyInformation RetrievalInfrastructureInvestigationKnowledgeLabelLightLinkLogicMagnetic Resonance ImagingMethodologyMethodsMicroscopyModernizationMolecularMolecular ProfilingMonoclonal AntibodiesMorphologyMusNamesNeurogliaNeuronsNoiseOutputPatternPopulationProductionProtocols documentationRefractive IndicesResolutionSamplingScanningScientistSignal TransductionSliceSpeedStainsStereotypingStructureSystemTechniquesTechnologyTestingThickTimeTissuesValidationanalysis pipelinebasebrain cellbrain researchcell typecellular imagingcomparativecomputer sciencecomputerized data processingcomputerized toolsdata analysis pipelinedeep learningexhaustioninnovationmagnetic fieldmethod developmentmultimodalitymultiplexed imagingnew technologynovelorganizational structurepreservationprotein profilingprototypereconstructionscale upsynergismtargeted imagingtissue preparationtissue processing
中文摘要
项目摘要(摘要)
英文摘要
Project Summary (Abstract)
Gaining a comprehensive understanding of brain-wide cellular organization in the human brain has long been
recognized as a critical foundation for understanding complex brain functions, including who we are as humans.
In this project we propose to take on this challenge and establish a pipeline capable of imaging the entire human
brain at cellular resolution. We believe that the convergence of our novel technologies for tissue processing
and clearing, ultra-fast 3D microscopy and highly efficient analysis will make this problem tractable and scalable,
marking a new paradigm in human brain research.
As part of BICCN, the Osten and Wu labs, have already made significant progress towards deciphering the cell
type and three-dimensional organizational logic of the mouse brain, using both genetic and molecular labeling
in combination with whole mouse brain imaging. However, scaling efforts ~2,000x from mouse to human brain
requires both technical and conceptual innovation to extract maximum information and ensure high efficiency.
Our approach will center on a new Human brain Optimized Light-Sheet HOLiS microscopy platform developed
by the Hillman lab, whose speed, efficiency and multiplexing capabilities are expected to enable cellular-
resolution imaging across the entire human brain in only a few days. The HOLiS platform is complemented by a
new optimized tissue preparation method for human brain developed by the Wu lab, named HuB.Clear,
optimized for multiplexed staining and clearing of highly tractable 5 mm thick, full human brain slabs. Our
computational data analysis pipelines developed by the Osten lab will leverage deep learning-based data
analysis and permit every cell in the brain to be registered within the whole brain 7T MRI volume. Our new human
brain common coordinate framework will include cellular diversity analysis based on multiplex protein profiling
and precise spatial characterization. The following benchmarks will be achieved during the 3-year project:
Our tissue preparation method will provide: 1) complete tissue clearing while preserving morphology to allow
faithful data production and integration with MRI, and 2) reliable and quantitative whole mount immunolabeling
with diverse targets to allow multiplex molecular profiling across the entire brain. Our imaging technology will
provide: 1) sufficient resolution and multiplexing capacity, and 2) high-throughput speed to allow exhaustive
analyses across multiple whole human brains. Our data analysis methods will provide: 1) infrastructure capable
of processing whole human brain imaging data, and 2) algorithms optimized for HOLiS to extract and interpret
rich molecular and cellular information with the latest advances in computer science.
The resulting pipeline will be easily scalable and sharable with maximized benefit-cost ratio, opening the
door to imaging 100's or even 1,000's of human brains in coming years. Our results will link cellular diversity and
morphology with molecular signatures across the entire human brain at a sufficient cellular resolution and to
facilitate further functional investigations and cross-species comparisons in synergy with other BICCN efforts.
期刊论文(2)
专著(0)
科研奖励(0)
会议论文
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批准号:10224732
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项目类别:
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资助金额:$48.37万
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财政年份:2017
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负责人:Elizabeth M. C. Hillman
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依托单位:
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批准号:9983207
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资助金额:$49.16万
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财政年份:2017
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SCAPE microscopy for high-speed in-vivo volumetric microscopy in behaving organisms
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资助金额:$50.48万
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财政年份:2015
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负责人:Elizabeth M. C. Hillman
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依托单位:
Imaging the neuronal and metabolic basis of resting state connectivity mapping
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批准号:8717740
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资助金额:$34.22万
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财政年份:2011
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负责人:Elizabeth M. C. Hillman
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依托单位:
Imaging the neuronal and metabolic basis of resting state connectivity mapping
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批准号:8320127
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项目类别:
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资助金额:$34.46万
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财政年份:2011
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负责人:Elizabeth M. C. Hillman
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依托单位:
Imaging the neuronal and metabolic basis of resting state connectivity mapping
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批准号:8902277
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项目类别:
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资助金额:$34.62万
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财政年份:2011
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负责人:Elizabeth M. C. Hillman
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依托单位:
ADVANCES IN OPTICS FOR BIOTECHNOLOGY, MEDICINE AND SURGERY CONFERENCE XII
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批准号:8062907
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项目类别:
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资助金额:$2.0万
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财政年份:2011
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负责人:Elizabeth M. C. Hillman
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依托单位:
Imaging the neuronal and metabolic basis of resting state connectivity mapping
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批准号:8222238
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项目类别:
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资助金额:$33.63万
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财政年份:2011
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负责人:Elizabeth M. C. Hillman
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依托单位:
Imaging the neuronal and metabolic basis of resting state connectivity mapping
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批准号:8514742
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项目类别:
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资助金额:$33.31万
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财政年份:2011
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负责人:Elizabeth M. C. Hillman
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依托单位:
In-vivo optical imaging of neurovascular coupling and cerebral metabolism
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批准号:7874281
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项目类别:
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资助金额:$3.78万
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财政年份:2008
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负责人:Elizabeth M. C. Hillman
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依托单位:
In-vivo optical imaging of neurovascular coupling and cerebral metabolism
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批准号:7874282
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项目类别:
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资助金额:$8.27万
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财政年份:2008
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负责人:Elizabeth M. C. Hillman
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依托单位:
In-vivo optical imaging of neurovascular coupling and cerebral metabolism
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批准号:7620071
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项目类别:
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资助金额:$32.37万
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财政年份:2008
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负责人:Elizabeth M. C. Hillman
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依托单位:
In-vivo optical imaging of neurovascular coupling and cerebral metabolism
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批准号:8912611
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项目类别:
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资助金额:$34.11万
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财政年份:2008
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负责人:Elizabeth M. C. Hillman
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依托单位:
In-vivo optical imaging of neurovascular coupling and cerebral metabolism
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批准号:8252173
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项目类别:
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资助金额:$33.57万
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财政年份:2008
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负责人:Elizabeth M. C. Hillman
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依托单位:
In-vivo optical imaging of neurovascular coupling and cerebral metabolism
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批准号:7514013
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项目类别:
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资助金额:$32.2万
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财政年份:2008
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负责人:Elizabeth M. C. Hillman
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依托单位:
In-vivo optical imaging of neurovascular coupling and cerebral metabolism
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批准号:8064278
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项目类别:
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资助金额:$33.39万
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财政年份:2008
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负责人:Elizabeth M. C. Hillman
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依托单位:
A Depth-resolved Voltage Sensitive Dye Imaging System
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批准号:7291534
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资助金额:$17.59万
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财政年份:2005
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负责人:Elizabeth M. C. Hillman
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依托单位:
A Depth-resolved Voltage Sensitive Dye Imaging System
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批准号:7017264
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项目类别:
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资助金额:$9.19万
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财政年份:2005
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负责人:Elizabeth M. C. Hillman
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依托单位:
A Depth-resolved Voltage Sensitive Dye Imaging System
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Characterizing long-range cortical and subcortical dynamics in relation to corticospinal output and motor control
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资助金额:$57.17万
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财政年份:--
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负责人:Elizabeth M. C. Hillman
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依托单位:
海外基金