首页> 外文会议>Conference on Hybrid Image and Signal Processing VIII, Apr 4, 2002, Orlando, USA >A Dynamic Programming-based Approach to Microarray Image Registration
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A Dynamic Programming-based Approach to Microarray Image Registration

机译:基于动态编程的微阵列图像配准方法

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Microarray technology is increasingly used as a means of high throughput analysis of human, non-human and plant genomes. Manual methods of array production have inherent imperfections and variations of the quality of output data derived from these arrays. For paired microarray images acquired using manual methods of array production, image registration is necessary for aligning corresponding spots for comparison. In this research, a dynamic programming technique is investigated for registering and comparing microarray image pairs. The output of the cost function developed provides a similarity measure between the images and can be applied to evaluating the quality of the image pair. The backward solution from the dynamic programming algorithm developed provides the basis for registering the image pah's. The image registration technique provides for an optimal alignment of the image pairs. The aligned images facilitate spot-to-spot comparisons between the image pairs for detecting specific genetic expressions that could be related to bio-medical functions.
机译:微阵列技术越来越多地用作对人类,非人类和植物基因组进行高通量分析的手段。手工生产阵列的方法具有固有的缺陷,并且从这些阵列获得的输出数据的质量也存在差异。对于使用手动阵列生产方法获取的成对微阵列图像,必须进行图像配准才能对齐相应的斑点进行比较。在这项研究中,研究了一种动态编程技术,用于配准和比较微阵列图像对。所开发的成本函数的输出提供了图像之间的相似性度量,并可用于评估图像对的质量。开发的动态编程算法的后向解决方案为注册图像pah提供了基础。图像配准技术提供了图像对的最佳对准。对齐的图像有助于图像对之间的点对点比较,以检测可能与生物医学功能有关的特定基因表达。

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