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- W3141568082 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 a 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." @default.
- W3141568082 created "2021-04-13" @default.
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- W3141568082 date "2012-01-01" @default.
- W3141568082 modified "2023-09-26" @default.
- W3141568082 title "Detection and tracking of clathrin-coated pits in biological images" @default.
- W3141568082 hasPublicationYear "2012" @default.
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