Automated Gridding of Microarrays

Chaitanya Tuckley, Abhilash Barpanda, S. Duttagupta
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Abstract

Microarrays, with advancement in proteomics, have proven to be a disruptive technology in the world of pharmacology as they enable researchers carry out multiple assays on a single chip in a convenient and time efficient manner. Accompanied by image processing algorithms, they yield veritable results rapidly. The intensity of the microarray spots is highly dependent on the hybridization prospects between its probe and the analyte introduced. Hence, most techniques given in the literature based solely on the intensity fail to identify the spots correctly. Moreover, thousands of spots need to be manually aligned before further analysis. This work presents a novel technique to automatically identify the blocks, despite having artefacts, accurately.
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微阵列的自动网格化
随着蛋白质组学的进步,微阵列技术已被证明是药理学领域的一项颠覆性技术,因为它们使研究人员能够以方便和高效的方式在单个芯片上进行多种检测。伴随着图像处理算法,它们迅速产生真正的结果。微阵列斑点的强度高度依赖于探针和被分析物之间的杂交前景。因此,文献中给出的大多数仅基于强度的技术无法正确识别斑点。此外,在进一步分析之前,需要手动对齐数千个点。这项工作提出了一种新的技术,自动识别块,尽管有人工制品,准确。
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