Dissemination of FlyWire, A Whole-Brain Connectomics Resource
全脑连接组学资源 FlyWire 的传播
基本信息
- 批准号:10668452
- 负责人:
- 金额:$ 123.73万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2022
- 资助国家:美国
- 起止时间:2022-08-01 至 2027-07-31
- 项目状态:未结题
- 来源:
- 关键词:AddressAdultBRAIN initiativeBehaviorBiological ModelsBrainBrain regionCellsCentral Nervous SystemCollaborationsCommunitiesComputersDataData SetDevelopmentDrosophila genusDrosophila melanogasterEducational workshopElectronsFemaleFundingGeneticGoldGrantImageIncentivesInfrastructureInternetMammalsManualsMediatingNeuroanatomyNeuronsNeurosciencesOutcomePersonsPhysiologyPublicationsResearchResourcesRunningScientistSex DifferencesStructureTimeTrainingUpdateVisualizationautomated segmentationcommunity organizationsconnectomeconnectome datadeep learningdesignflyinnovationinterestlearning strategymalemembermicroscopic imagingneural circuitonline communityonline tutorialoutreachpreventreconstructionrecruitskillstool
项目摘要
This proposal will disseminate FlyWire, a Drosophila whole brain connectomics resource. We
used advances in AI to segment all neurons from a whole brain EM volume called FAFB. The
automated segmentation is of high enough quality that, in combination with innovative
proofreading tools, scientists can relatively quickly proofread circuits of interest. The community
of current collaborators includes about 160 scientists from 40 labs, who have so far succeeded
at proofreading more than 15% of the neurons in the fly brain. Several publications have
resulted, and more are on the way. Proofreading is required because automated segmentation,
while good, contains errors that must be fixed with manual correction. Janelia/HHMI spent 50
person-years proofreading an EM volume that contains roughly one-third of the neurons in
another female brain, a resource called the hemibrain. A whole brain connectome, in contrast,
will make it possible to address questions about brain-wide circuit organization and about any
brain region. We created this unique resource with a three-year grant from the BRAIN Initiative,
and are now seeking additional funding to disseminate the resource more widely. Our
framework for dissemination will set the standard for emerging, larger connectomics datasets,
such as those of mammals. We propose three Aims for dissemination that include outreach
efforts, deploying a centrally-managed proofreading team, and enhancing the user interface and
tools available to access FlyWire data. In particular, a Community Manager will organize the
community of scientists working in FlyWire, will recruit and train new users, will run workshops,
and will coordinate access to the trained proofreaders. Scientists can apply to have an expert
proofreader assist with their circuit reconstruction projects, and we will give priority to new users.
Finally, in the first year of the project we will implement GUI tools in FlyWire that facilitate
discovery without necessitating programming skills.
该提案将传播Flywire,这是果蝇的整个脑连接资源。我们
使用AI中的进步来分割来自称为FAFB的整个大脑EM体积的所有神经元。这
自动分割的质量足够高,结合创新
校对工具,科学家可以相对较快地校对感兴趣的电路。社区
目前的合作者包括来自40个实验室的约160名科学家,到目前为止
在校对苍蝇大脑中超过15%的神经元时。有几个出版物
结果,还有更多。需要校对,因为自动细分,
虽然良好,但包含必须通过手动校正解决的错误。 Janelia/HHMI花费了50
人年校对EM卷,其中包含大约三分之一的神经元
另一个女性大脑,一种称为半充实的资源。相比之下,整个大脑连接组
将有可能解决有关脑部电路组织以及任何任何问题的问题
大脑区域。我们通过大脑计划的三年赠款创建了这一独特的资源,
现在正在寻求额外的资金来更广泛地传播资源。我们的
传播框架将为新兴的,较大的连接数据集设置标准,
例如哺乳动物的。我们提出了三个传播目标,包括外展
努力,部署一个由中央管理的校对团队,并增强用户界面和
可用于访问Flywire数据的工具。特别是,社区经理将组织
在Flywire工作的科学家社区,将招募和培训新用户,将举办研讨会,
并将协调对训练有素的校对者的访问。科学家可以申请拥有专家
校对器协助其电路重建项目,我们将优先考虑新用户。
最后,在项目的第一年,我们将在Flywire中实施GUI工具,以促进
发现无需编程技能。
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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Mala Murthy其他文献
Mala Murthy的其他文献
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{{ truncateString('Mala Murthy', 18)}}的其他基金
Accelerating connectomic proofreading for larger brains and multiple individuals
加速更大大脑和多个个体的连接组学校对
- 批准号:
10413515 - 财政年份:2022
- 资助金额:
$ 123.73万 - 项目类别:
Dissemination of FlyWire, A Whole-Brain Connectomics Resource
全脑连接组学资源 FlyWire 的传播
- 批准号:
10439970 - 财政年份:2022
- 资助金额:
$ 123.73万 - 项目类别:
Uncovering the Neural Mechanisms that Flexibly Link Sensory Processing to Behavior
揭示将感觉处理与行为灵活联系起来的神经机制
- 批准号:
10396643 - 财政年份:2019
- 资助金额:
$ 123.73万 - 项目类别:
Uncovering the Neural Mechanisms that Flexibly Link Sensory Processing to Behavior
揭示将感觉处理与行为灵活联系起来的神经机制
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9924657 - 财政年份:2019
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Uncovering the Neural Mechanisms that Flexibly Link Sensory Processing to Behavior
揭示将感觉处理与行为灵活联系起来的神经机制
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- 资助金额:
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How does the brain solve the pattern recognition problem?
大脑如何解决模式识别问题?
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