Integrative labeling, imaging, and reconstruction tools for high-throughput inhibitory microconnectivity analysis in the mouse brain

用于小鼠大脑高通量抑制性微连接分析的集成标记、成像和重建工具

基本信息

  • 批准号:
    10025817
  • 负责人:
  • 金额:
    $ 314.41万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2020
  • 资助国家:
    美国
  • 起止时间:
    2020-08-20 至 2024-08-19
  • 项目状态:
    已结题

项目摘要

Abstract Neural circuits composed of interconnected neurons with distinct properties lay the physical foundation of any brain function. Identifying connections between individual neurons is central to understand how information is processed and propagated in the brain. While emerging high throughput light microscopy technologies are highly promising in allowing whole brain scale imaging at the single cell level, optical resolution limitation prevents their use in differentiating densely labeled neuronal processes in the same brain. In addition, computational tools for automatically extracting morphological information from intermingled neurons with high accuracy are still lacking. Our team will concurrently develop novel genetic tools for neuronal labeling, super-resolution imaging, and automated neuronal tracing for high-throughput circuit reconstruction. We will apply these tools to obtain densely reconstructed inhibitory microcircuits in the mouse cortex. These tools will be readily applicable for studying other long-standing questions in neuroscience and the resources generated by this project will be useful for future computational tool development.
摘要 由具有不同性质的相互连接的神经元组成的神经回路奠定了物理基础 任何大脑功能。识别单个神经元之间的连接对于理解 信息在大脑中处理和传播。虽然新兴的高通量光学显微镜 技术在允许单细胞水平的全脑尺度成像、光学成像和光学成像方面是非常有前途的。 分辨率限制阻止了它们用于区分相同脑区中密集标记的神经元过程, 个脑袋此外,用于自动提取形态学信息的计算工具, 仍然缺乏具有高精度的混合神经元。我们的团队将同时开发新的基因 用于神经元标记、超分辨率成像和高通量自动神经元追踪的工具 电路重构我们将应用这些工具,以获得密集重建的抑制微电路, 老鼠的大脑皮层这些工具将随时适用于研究其他长期存在的问题, 神经科学和该项目产生的资源将有助于未来的计算工具 发展

项目成果

期刊论文数量(1)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
nGauge: Integrated and Extensible Neuron Morphology Analysis in Python.
  • DOI:
    10.1007/s12021-022-09573-8
  • 发表时间:
    2022-07
  • 期刊:
  • 影响因子:
    3
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Dawen Cai其他文献

Dawen Cai的其他文献

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{{ truncateString('Dawen Cai', 18)}}的其他基金

Continuous development of nTracer2 and its deployment at NIH image repositories
nTracer2 的持续开发及其在 NIH 图像存储库中的部署
  • 批准号:
    10726178
  • 财政年份:
    2023
  • 资助金额:
    $ 314.41万
  • 项目类别:
Neural Architecture of the Murine and Human Temporomandibular Joint
小鼠和人类颞下颌关节的神经结构
  • 批准号:
    10608491
  • 财政年份:
    2022
  • 资助金额:
    $ 314.41万
  • 项目类别:
Development of a scalable strategy for reconstructing cell-type determined connectome of the mammalian brain
开发可扩展的策略来重建哺乳动物大脑的细胞类型决定的连接组
  • 批准号:
    10088842
  • 财政年份:
    2020
  • 资助金额:
    $ 314.41万
  • 项目类别:
A multimodal platform to bridge the experimental gap between behavioral, neuronal, and molecular studies
弥合行为、神经元和分子研究之间实验差距的多模式平台
  • 批准号:
    9794177
  • 财政年份:
    2019
  • 资助金额:
    $ 314.41万
  • 项目类别:
Visualizing epithelial network connectivity in thymus biology, aging, and regeneration
胸腺生物学、衰老和再生中上皮网络连接的可视化
  • 批准号:
    9383719
  • 财政年份:
    2017
  • 资助金额:
    $ 314.41万
  • 项目类别:
MACS: A genetic labeling tool to depict the complete neuroblast lineage of all neurons in individual Drosophila brains
MACS:一种基因标记工具,用于描述单个果蝇大脑中所有神经元的完整神经母细胞谱系
  • 批准号:
    8831944
  • 财政年份:
    2014
  • 资助金额:
    $ 314.41万
  • 项目类别:

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