Simulation and tracking of fractional particles motion. From microscopy video to statistical analysis. A Brownian bridge approach
作者：
Highlights：
• A systematic methodology for detection and tracking from a fluorescence movie of single molecule particles is presented here step by step.
• Some important factors that can influence the outcome of SPT analysis are discussed in details. In particular, an accent is put on the effect of different gap closing strategies.
• The novelty of our approach is based on a combination/interplay between deterministic tools (active contour model, Mumford-Shah functional, Knaster-Tarski theorem) with stochastic and statistic ones (Brownian bridge, Neyman-Pearson hypothesis testing).
摘要
•A systematic methodology for detection and tracking from a fluorescence movie of single molecule particles is presented here step by step.•Some important factors that can influence the outcome of SPT analysis are discussed in details. In particular, an accent is put on the effect of different gap closing strategies.•The novelty of our approach is based on a combination/interplay between deterministic tools (active contour model, Mumford-Shah functional, Knaster-Tarski theorem) with stochastic and statistic ones (Brownian bridge, Neyman-Pearson hypothesis testing).
论文关键词：Single-particle tracking,Active contours,Mean-square displacement,Brownian bridge,
论文评审过程：Received 14 October 2020, Revised 8 December 2020, Accepted 13 December 2020, Available online 26 December 2020, Version of Record 26 December 2020.
论文官网地址：https://doi.org/10.1016/j.amc.2020.125902
