Bajla I, Holländer I, Fluch S, Burg K, Kollár M
Department of High Performance Image Processing, ARC Seibersdorf research GmbH, A-2444 Seibersdorf, Austria.
Comput Methods Programs Biomed. 2005 Mar;77(3):209-31. doi: 10.1016/j.cmpb.2004.09.007.
A novel methodology of electrophoretic gel image analysis has been proposed that is based on two-dimensional image processing methods instead of previously used one-dimensional Gaussian deconvolution. The crucial problem of the analysis of imperfect gels, that consists in band detection, is solved using the algorithms of band boundary detection and intensity homogeneity indication. The template approach represents the core element of the developed algorithms. The GelMaster software system has been developed in which the novel algorithms are implemented. It involves two-stage interaction with the user: detection of the true bands and deleting the false band detections. The main features of the GelMaster system and the most important algorithms are described.
一种基于二维图像处理方法而非先前使用的一维高斯反卷积的新型电泳凝胶图像分析方法已被提出。不完美凝胶分析中的关键问题,即条带检测问题,通过条带边界检测和强度均匀性指示算法得以解决。模板方法是所开发算法的核心要素。已开发出GelMaster软件系统,其中实现了新型算法。它涉及与用户的两阶段交互:真实条带的检测和错误条带检测的删除。描述了GelMaster系统的主要特征和最重要的算法。