Analyzing Two-Dimensional Gel Images (original) (raw)

This paper explores the challenges and methodologies in analyzing two-dimensional gel electrophoresis (2D-PAGE) images, a widely used technique in proteomics for separating thousands of proteins based on their isoelectric points and molecular weights. The authors highlight the statistical complexities involved in the analysis and argue for the significant role statisticians can play in improving automated image analysis. They discuss various steps of gel analysis, including noise reduction, spot detection, gel alignment, and spot matching, while providing insights into the current limitations and future directions for enhancing the reliability of these methods.