Institute of Computer Science, Martin-Luther-University Halle-Wittenberg, 06120 Halle, Germany.
Electrophoresis. 2009 Dec;30(23):4137-48. doi: 10.1002/elps.200900293.
Proteomics is a rapidly growing field of modern biology. Since quantitative data of proteins involved in dynamic processes of living organisms are essential for understanding the basics of life, techniques like 2-DE and related procedures for automatic data interpretation are at the heart of this research field. They are strongly required to enable analysis and interpretation of the emerging amount of available data. Analyzing and interpreting gel image data usually requires the comparison of gels from different experiments and, thus, a prior registration of gels. This can be accomplished using featureless, feature-based or hybrid registration approaches combining both techniques. Recently, the latter ones have shown high performance, and it is undoubtful that in general robust and reliable features are an essential ingredient and valuable source of information for high-quality image registration. In this paper we provide a thorough overview and elaborate analysis of the capabilities of available feature detectors for gel image registration. Particularly, a detailed and extensive comparative study is presented where common spot-specific detectors are included as well as image-content independent detectors that were not applied to the task of gel image registration until now. The study incorporates tests on several thousand synthetically deformed images from different experimental conditions. As a result it provides valuable quantitative data allowing for direct objective comparisons of various detectors, and is well suited to guide the design of new registration algorithms.
蛋白质组学是现代生物学中一个快速发展的领域。由于涉及生物体动态过程的蛋白质的定量数据对于理解生命的基本原理至关重要，因此像 2-DE 这样的技术以及用于自动数据解释的相关程序是该研究领域的核心。这些技术对于分析和解释不断涌现的大量可用数据是非常必要的。分析和解释凝胶图像数据通常需要比较来自不同实验的凝胶，因此需要对凝胶进行预先配准。这可以使用无特征、基于特征或结合两种技术的混合配准方法来完成。最近，后者表现出了很高的性能，毫无疑问，在一般情况下，稳健可靠的特征是高质量图像配准的重要组成部分和有价值的信息来源。在本文中，我们对凝胶图像配准中可用特征检测器的功能进行了全面的概述和详细的分析。特别是，我们进行了一项详细而广泛的比较研究，其中包括常见的斑点特异性检测器，以及到目前为止尚未应用于凝胶图像配准任务的图像内容独立检测器。该研究包括对来自不同实验条件的数千张合成变形图像的测试。其结果提供了有价值的定量数据，允许对各种检测器进行直接客观的比较，非常适合指导新的配准算法的设计。
