Detection and tracking of clathrin-coated pits in biological images

• 来源期刊: 科学通报(英文版)
• 学科: 工学
• 年，卷（期）: 2012,（7）
• 页码范围: 729-735
• 页数: 7页
• 分类号: TP391.41
• 语种: 中文

摘要

Dynamically tracking hundreds of individual pits is essential to determine whether there exist "hot spots" for the formation of clathrin-coated pits or if the pits formed randomly on the plasma membrane. We propose an automated approach to detect these particles based on an improved á trous wavelet transform decomposition with automatic threshold selection and post processing solution, and to track the dynamic process with a greedy algorithm. The results indicate that the detection method can successfully detect most particles in an image with accuracy of 98.61% and 97.65% for adaptor and clathrin images, respectively, and that the tracking algorithm can resolve merging and splitting issues encountered when analyzing dynamic, live-cell images of clathrin assemblies.