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In Vivo Imaging Core

In Vivo Imaging Core
体内成像核心
批准号:
10017253
负责人:
FRANK TONG
金额:
$5.91万
依托单位国家:
美国
项目类别:
财政年份:
1997
资助国家:
美国
项目状态:
已结题
起止时间:
1997-04-01 至 2024-08-31

项目摘要

项目成果

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中文摘要
翻译
项目总结:体内成像模块 范德比尔特视觉研究中心(VVRC)包括对以下方面有浓厚兴趣的研究人员: 辨别清醒动物视觉通路中的结构-功能和功能-认知关系, 包括非人类灵长类动物和人类受试者。VVRC体内成像模块的目的是 为所有利用动物的非侵入性成像研究提供全面的资源,包括非 人类灵长类动物或人类受试者。该模块使调查人员及其工作人员能够访问最先进的 活体动物和人类成像设施,离线分析和技术专长,通过补贴 范德比尔特大学成像科学研究所(VUIIS)的奖学金使用。VUIIS具有核心 与基于物理学进展开发新成像技术有关的研究计划, 工程学和计算机科学。除了高场MRI和MR光谱,超声、光学和 与人类受试者的其他模式相比,VUIIS为小动物和非人类受试者提供了最先进的选择。 灵长类动物的成像这些资源是通过人类成像中心提供的 (由Seth Smith导演)和小动物成像中心(CSAI)。奖学金 系统由研究的VUMC办公室实施,并通过使用而不是折扣或共同支付 VUMC ILab会计系统。在当前的供资周期中,体内成像模块被11个 调查人员使用该服务撰写了89篇出版物,并通过以下方式为我们的调查人员节省了2229,325美元 发放和使用35个奖学金。在下一个周期中,我们预计36个国家中有17个国家将中度到广泛使用 investigators.体内成像模块位于集中位置,足以进行大量独立的 非侵入性成像平台,由副教授Seth Smith博士指导。使用资源和 在该核心机制的部分支持下,VVRC体内成像模块将(1)开发和 部署先进的,多模态成像技术,以研究人类视觉,其处理,并耦合 神经科学,(2)开发和部署用于动物视觉研究的多模态成像工具集 模型,以及(3)开发成像信息学,人工智能和机器学习的基础设施, 最先进的“视觉大数据”分析。这些服务和资源将扩大 由NEI资助的VVRC研究人员进行的实验,扩大了对学生和研究员的培训 视觉科学,并通过提供先进的,高分辨率和多样化的成像促进合作 为那些没有这种能力的人提供平台,包括早期职业视觉科学家, 临床科学家为他们的实验室竞争校外资金。
英文摘要
PROJECT SUMMARY: IN VIVO IMAGING MODULE The Vanderbilt Vision Research Center (VVRC) includes faculty investigators with a strong interest in discerning structure-function and function-cognition relationships in the visual pathways in awake animals, including non-human primates, and human subjects. The purpose of the VVRC In Vivo Imaging Module is to provide a comprehensive resource for all non-invasive imaging research that utilizes animals, including non- human primates, or human subjects. This module gives investigators and their staff access to state-of-the-art live animal and human imaging facilities, offline analysis, and technical expertise through subsidized scholarship use of the Vanderbilt University Institute of Imaging Science (VUIIS). The VUIIS has a core program of research related to developing new imaging technology based on advances in physics, engineering, and computer science. In addition to high-field MRI and MR spectroscopy, ultrasound, optical and other modalities in human subjects, the VUIIS offers state-of-the-art options for small animal and non-human primate imaging in all modalities. These resources are provided through the Center for Human Imaging (Directed by Module Director Seth Smith) and the Center for Small Animal Imaging (CSAI). The scholarship system is implemented by the VUMC Office of Research and is utilized instead of a discount or co-pay via the VUMC ILab accounting system. In the current funding cycle, the In Vivo Imaging Module was used by 11 investigators who authored 89 publications using the service, and saved our investigators $2229,325 through issuance and utilization of 35 scholarships. In the next cycle, we expect moderate to extensive use by 17 of 36 investigators. The In Vivo Imaging Module, housed in centralized locations sufficient for numerous independent non-invasive imaging platforms, is directed by Associate Professor Seth Smith, PhD. Using resources and personnel supported in part by this Core mechanism, the VVRC IN Vivo Imaging Module will (1) develop and deploy advanced, multi-modal imaging technologies to the study of human vision, its processing, and coupled neuroscience, (2) develop and deploy a multi-modal set of imaging tools for the study of vision in animal models, and (3) develop Infrastructure for imaging informatics, artificial intelligence, and machine learning for state-of-the-art analysis of “big vision data”. These services and resources will enhance the scope of experimentation NEI-funded VVRC investigators conduct, expand the training of students and fellows involved in vision science, and promote collaboration by providing sophisticated, high-resolution and diverse imaging platforms to those who otherwise would not have such capabilities, including early-career vision scientists and clinician-scientists competing for extramural funding for their laboratories.
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会议论文
Neural and computational mechanisms underlying robust object recognition
  • 批准号:
    10682285
  • 项目类别:
  • 资助金额:
    $41.15万
  • 财政年份:
    2023
  • 负责人:
    FRANK TONG
  • 依托单位:
Learning the visual and cognitive bases of lung nodule detection
  • 批准号:
    10319004
  • 项目类别:
  • 资助金额:
    $35.94万
  • 财政年份:
    2020
  • 负责人:
    FRANK TONG
  • 依托单位:
Learning the visual and cognitive bases of lung nodule detection
  • 批准号:
    10528458
  • 项目类别:
  • 资助金额:
    $35.5万
  • 财政年份:
    2020
  • 负责人:
    FRANK TONG
  • 依托单位:
Perceptual functions of the human lateral geniculate nucleus
  • 批准号:
    10224205
  • 项目类别:
  • 资助金额:
    $38.06万
  • 财政年份:
    2018
  • 负责人:
    FRANK TONG
  • 依托单位:
海外基金