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Nanospectroscopy Using Integrated Ultra-high Quality Factor Microcavities

Nanospectroscopy Using Integrated Ultra-high Quality Factor Microcavities
使用集成超高品质因数微腔的纳米光谱学
批准号:
RGPIN-2015-06515
负责人:
Lu, Tao
金额:
$1.6万
依托单位:
依托单位国家:
加拿大
项目类别:
Discovery Grants Program - Individual
财政年份:
2015
资助国家:
加拿大
项目状态:
已结题
起止时间:
2015-01-01 至 2016-12-31

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中文摘要
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英文摘要
The nature of the proposed research is to investigate ultra-high quality factor microcavities integrated on a single silicon photonic chip for spectrally discerning individual nanoparticles and biomolecules, discovering their chemical compositions in high spectral resolution and observing their mutual interactions. The proposed research program will result in the development of lab-on-a-chip nanospectrometers that can be used to interrogate nano-objects and their interactions at individual level, in vitro, of super high spectral resolution and in real time.
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Researches on Whispering Gallery Microcavities and Machine Learning
  • 批准号:
    RGPIN-2020-05938
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.84万
  • 财政年份:
    2022
  • 负责人:
    Lu, Tao
  • 依托单位:
Researches on Whispering Gallery Microcavities and Machine Learning
  • 批准号:
    RGPIN-2020-05938
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.84万
  • 财政年份:
    2021
  • 负责人:
    Lu, Tao
  • 依托单位:
Researches on Whispering Gallery Microcavities and Machine Learning
  • 批准号:
    RGPIN-2020-05938
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.84万
  • 财政年份:
    2020
  • 负责人:
    Lu, Tao
  • 依托单位:
Nanospectroscopy Using Integrated Ultra-high Quality Factor Microcavities
  • 批准号:
    RGPIN-2015-06515
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.6万
  • 财政年份:
    2019
  • 负责人:
    Lu, Tao
  • 依托单位:
国内基金
海外基金
Capture and Release of Droplets Using Advanced Materials for High Technology Applications
  • 批准号:
    52073127
  • 项目类别:
    面上项目
  • 资助金额:
    58.0万元
  • 批准年份:
    2020
  • 负责人:
    Alidad Amirfazli
  • 依托单位:
Molecular Interaction Reconstruction of Rheumatoid Arthritis Therapies Using Clinical Data