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Quantum dot lighting solutions for optogenetics and precision growth of photosynthetic organisms

Quantum dot lighting solutions for optogenetics and precision growth of photosynthetic organisms
用于光遗传学和光合生物精准生长的量子点照明解决方案
批准号:
544075-2019
负责人:
Hallam, Steven
金额:
$1.82万
依托单位国家:
加拿大
项目类别:
Engage Grants Program
财政年份:
2019
资助国家:
加拿大
项目状态:
已结题
起止时间:
2019-01-01 至 2020-12-31

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英文摘要
Sunlight influences circadian rhythms that regulate the timing of biological processes and behaviour in humans. Conventional office and computer lighting does not follow this cycle, upsetting the performance of our biological clock and affecting our sleep. This effects performance, mood and health. Nano-Lit Technologies has developed a control system that works in combination with a Quantum Dot LED lighting system to provide customers superior lighting systems for our biological needs. The most significant challenge currently facing the lighting industry is quantifiably proving the efficacy of controlled lighting on health, sleep quality and energy levels. This research project will develop a laboratory-scale lighting system based onNano-Lit's core technology that will enable us to test organismal responsiveness to quantum dot lighting in high-throughput, using the light-dependant genetic circuits in photosynthetic organisms and optogenetics, as proxies for those that exist in plants and animals, including humans. We will design, develop and test quantum dot-based lighting solutions that can be integrated into the Labcyte Access Workstation high-throughput screening instrumentation in the Hallam lab, enabling automated plating, incubation and monitoring of up to 40,320 clonal cultures in parallel. These efforts will provide Nano-Lit with quantitative information on the efficacy of their Quantum Dot LED lighting system.
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From microbiomes to biofactories
  • 批准号:
    RGPIN-2017-05753
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $8.74万
  • 财政年份:
    2021
  • 负责人:
    Hallam, Steven
  • 依托单位:
From microbiomes to biofactories
  • 批准号:
    RGPIN-2017-05753
  • 项目类别:
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    466096-2015
  • 项目类别:
    Collaborative Research and Training Experience
  • 资助金额:
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    2020
  • 负责人:
    Hallam, Steven
  • 依托单位:
Rapid high-throughput sample preparation for COVID-19 diagnostics using integrated automation systems
  • 批准号:
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  • 项目类别:
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  • 资助金额:
    $3.64万
  • 财政年份:
    2020
  • 负责人:
    Hallam, Steven
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国内基金
海外基金
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