中央凹视锥细胞镶嵌的微分干涉差显微镜图像的自动分析
Automated analysis of differential interference contrast microscopy images of the foveal cone mosaic.
作者信息
Wojtas David H, Wu Bing, Ahnelt Peter K, Bones Philip J, Millane R P
机构信息
Computational Imaging Group, Department of Electrical and Computer Engineering, University of Canterbury, Christchurch, New Zealand.
出版信息
J Opt Soc Am A Opt Image Sci Vis. 2008 May;25(5):1181-9. doi: 10.1364/josaa.25.001181.
An algorithm is presented for processing and analysis of differential interference contrast (DIC) microscopy images of the fovea to study the cone mosaic. The algorithm automatically locates the cones and their boundaries in such images and is assessed by comparison with results from manual analysis. Additional algorithms are presented that analyze the cone positions to extract information on cone neighbor relationships as well as the short-range order and domain structure of the mosaic. The methods are applied to DIC images of the human fovea.
本文提出了一种用于处理和分析中央凹微分干涉对比（DIC）显微镜图像以研究视锥镶嵌的算法。该算法能自动在这类图像中定位视锥及其边界，并通过与手动分析结果进行比较来评估。还提出了其他算法，用于分析视锥位置，以提取有关视锥邻居关系以及镶嵌的短程有序和畴结构的信息。这些方法应用于人类中央凹的DIC图像。
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