课题基金 / 基金详情

Advanced methods for intraocular imaging

Advanced methods for intraocular imaging
眼内成像的先进方法
批准号:
DP140101480
负责人:
Prof David Atchison
金额:
$27.23万
依托单位国家:
澳大利亚
项目类别:
Discovery Projects
财政年份:
2014
资助国家:
澳大利亚
项目状态:
已结题
起止时间:
2014-06-20 至 2017-12-31

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中文摘要
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英文摘要
The ability to image the retina of the human eye at high resolution is fundamental to improving understanding of ocular physiology, ocular optics and disease diagnosis. This project applies the relatively new application of active optics to vision science. This project will investigate the advantages of using new beam shaping techniques for characterising the optics of the eye, improving retinal imagery and improving fixation stability. This project will achieve three-dimensional holography of human eyes and develop holography plates for correcting the aberrations of eyes. Expected outcomes are not-before experienced resolution images of the retina and better understanding of the optical characteristics of the refractive surfaces and media in the eye.
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Relationship of retinal directionality to human retinal anatomy variations
  • 批准号:
    DP190103069
  • 项目类别:
    Discovery Projects
  • 资助金额:
    $29.82万
  • 财政年份:
    2019
  • 负责人:
    Prof David Atchison
  • 依托单位:
Removing the blinkers: a wider study of the human eye. Peripheral aberrations, wide-field retinal imaging and optical parameters
  • 批准号:
    DP110102018
  • 项目类别:
    Discovery Projects
  • 资助金额:
    $23.38万
  • 财政年份:
    2011
  • 负责人:
    Prof David Atchison
  • 依托单位:
Vision performance in relationship to spectacle lens design
  • 批准号:
    LP100100575
  • 项目类别:
    Linkage Projects
  • 资助金额:
    $16.76万
  • 财政年份:
    2010
  • 负责人:
    Prof David Atchison
  • 依托单位:
Peripheral aberrations of the human eye
  • 批准号:
    LX0881907
  • 项目类别:
    Linkage - International
  • 资助金额:
    $1.12万
  • 财政年份:
    2008
  • 负责人:
    Prof David Atchison
  • 依托单位:
国内基金
海外基金
复杂图像处理中的自由非连续问题及其水平集方法研究
  • 批准号:
    60872130
  • 项目类别:
    面上项目
  • 资助金额:
    28.0万元
  • 批准年份:
    2008
  • 负责人:
    刘国才
  • 依托单位:
Computational Methods for Analyzing Toponome Data