Audic S, Zanetti G
Computational Genetics project, CRS4 (Centre for Advanced Studies and Research in Sardinia), Cagliari, Italy.
Comput Appl Biosci. 1995 Oct;11(5):489-95. doi: 10.1093/bioinformatics/11.5.489.
We describe a new technique for the automatic detection and characterization, in terms of location, size and intensity, of positive hybridization spots on hybridization filter images. We will also discuss how this information can be used to reconstruct the spot deposition pattern on the filter and thus identify the spots. The part of the algorithm dedicated to the detection of spots is derived from a technique used in astronomy for the automatic recognition of galaxies on photographic plates. This technique has been modified so that it becomes able to cope with the strongly varying background typical of hybridization filter images. The technique does not require any human intervention.
我们描述了一种新技术,用于在杂交滤膜图像上自动检测阳性杂交斑点,并根据其位置、大小和强度进行特征描述。我们还将讨论如何利用这些信息重建滤膜上的斑点沉积模式,从而识别斑点。算法中用于斑点检测的部分源自天文学中用于在照相底片上自动识别星系的一种技术。该技术已被修改,使其能够处理杂交滤膜图像典型的变化剧烈的背景。该技术无需任何人工干预。