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Gridding spot centers of smoothly distorted microarray images

机译:网格点中心平滑变形的微阵列图像

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We use an optimization technique to accurately locate a distorted grid structure in a microarray image. By assuming that spot centers deviate smoothly from a checkerboard grid structure, we show that the process of gridding spot centers can be formulated as a constrained optimization problem. The constraint is equal to the variations of the transform parameter. We demonstrate the accuracy of our algorithm on two sets of microarray images. One set consists of some images from the Stanford Microarray Database; we compare our centers with those annotated in the Database. The other set consists of oligonucleotide images, and we compare our results with those obtained by GenePix Pro 5.0. Our experiments were performed completely automatically.
机译:我们使用优化技术来精确定位微阵列图像中扭曲的网格结构。通过假设点中心与棋盘格网格结构的偏离平稳,我们证明了将点中心网格化的过程可以表述为约束优化问题。该约束等于变换参数的变化。我们在两组微阵列图像上证明了我们算法的准确性。一组包含斯坦福微阵列数据库中的一些图像;我们将我们的中心与数据库中注释的中心进行比较。另一组由寡核苷酸图像组成,我们将结果与通过GenePix Pro 5.0获得的结果进行比较。我们的实验是完全自动进行的。

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