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Quantum and computational imaging technology for bio-imaging

Quantum and computational imaging technology for bio-imaging
用于生物成像的量子和计算成像技术
批准号:
2446333
负责人:
金额:
$0.0万
依托单位:
依托单位国家:
英国
项目类别:
Studentship
财政年份:
2020
资助国家:
英国
项目状态:
已结题
起止时间:
2020 至 --

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中文摘要
翻译
有必要增强成像能力,以协助研究和开发新药物、药物输送系统和控制这些药物的作用。一个特别感兴趣的领域是神经退行性疾病的进化控制。许多研究都是在小鼠模型上进行的,但这里使用的技术通常是非常具有侵入性的,因此对结果的有效性提出了质疑,通常是基于小鼠模式本身的行为和大脑活动的变化。具有远程/非接触式监测鼠标模型的方法是非常理想的,这样结果就不会受到监测过程本身的任何方式的影响。主要目标之一是使用单光子成像技术结合计算技术来监测神经元细胞群,通过我们的远程和非侵入性成像技术建立神经元活动和可观察变化之间的明确联系。然后,我们将致力于探索将这些技术扩展到整个大脑的选择,甚至可能具有穿透颅骨的成像能力。研究方法的新颖性主要在于远程监测神经元活动的挑战和新型单光子传感能力的部署,以解决生命科学中突出的成像问题。
英文摘要
There is a need for enhanced imaging capability to assist research and development of novel drugs, drug delivery systems and control of the effects of these drugs. One area of particular interest is the control of the evolution of neurodegenerative diseases. Much research is carried on mouse models, yet the techniques used here are typically very invasive therefore raising questions around the validity of results, typically based on change in behaviour and brain activity in the mouse mode itself. It would be highly desirable to have remote/contactless way of monitoring mouse models such that results are not affected in any way by the monitoring process itself. Aims and ObjectivesOne of the main objectives will be the use of single photon imaging technology combined with computational techniques to monitor neuron cell collectives, to establish a clear connection between neuron activity and observable changes with our imaging techniques that are remote and non-invasive. We will then aim to explore options for expanding these techniques to the full brain, possibly even with the through-skull imaging capability. Novelty of the research methodologyThe main novelty lies in the challenge to remotely monitor neuron activity and the deployment of novel single photon sensing capability to solve outstanding imaging problems in the life sciences.
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国内基金
海外基金
物体运动对流场扰动的数学模型研究
  • 批准号:
    51072241
  • 项目类别:
    专项基金项目
  • 资助金额:
    10.0万元
  • 批准年份:
    2010
  • 负责人:
    李廷秋
  • 依托单位:
Computational Methods for Analyzing Toponome Data