Year: 2012
Type: article
Abstract: 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.
Source: Chinese Science Bulletin
Authors: ZhiFeng Liu, Yun Ge, Dong Zhang, XiaoBo Zhou
Institutions: Nanjing University, Harvard University
Language: English
Subfield: Biophysics
Domain: Life Sciences
Open Access status: hybrid
OpenAlex ID: W2028266417