2007
DOI: 10.1002/cyto.a.20411
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Tracking molecular particles in live cells using fuzzy rule‐based system

Abstract: Recent development of detection techniques of molecular particles in live cells has stimulated interest in developing the new powerful techniques to track the molecular particles in live cells. One special type of cellular microscopy images is about the formation and transportation of clathrin-coated pits and vesicles. Clathrin-coated pits are very important in studying the behavior of proteins and lipids in live cells. To answer the question, whether there exist ''hot spots'' for the formation of Clathrin-coa… Show more

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Cited by 12 publications
(9 citation statements)
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“…Haar-like features were first used by Viola and Jones (2004) for face detection using a small number of critical features. A complex scheme for particle detection using Haar-like features was presented by Jiang et al (2007), but for our foreground probability images, we find we are able to use a very simple segmentation criterion (adapted from Yang et al, 2010). Here, we calculate the energy for a single, square Haar-like feature representing a typical EB1-GFP particle (energy is calculated using pixel gray values as described in Yang et al, 2010; Eq.…”
Section: A Biased Random Dynamic Network Of Mts Can Perform Multiple mentioning
confidence: 99%
“…Haar-like features were first used by Viola and Jones (2004) for face detection using a small number of critical features. A complex scheme for particle detection using Haar-like features was presented by Jiang et al (2007), but for our foreground probability images, we find we are able to use a very simple segmentation criterion (adapted from Yang et al, 2010). Here, we calculate the energy for a single, square Haar-like feature representing a typical EB1-GFP particle (energy is calculated using pixel gray values as described in Yang et al, 2010; Eq.…”
Section: A Biased Random Dynamic Network Of Mts Can Perform Multiple mentioning
confidence: 99%
“…GNN approaches have been developed in the field of radar tracking and computer vision, and many have been recently applied to cell biological studies (Vallotton et al 2003; Bonneau et al 2005; Sage et al 2005; Sbalzarini and Koumoutsakos 2005; Shafique and Shah 2005; Genovesio et al 2006)2. Some algorithms deal with the additional factors complicating PT, namely temporary particle disappearance (Chetverikov and Verestoy 1999; Veenman et al 2001; Bonneau et al 2005; Sbalzarini and Koumoutsakos 2005; Shafique and Shah 2005; Genovesio et al 2006), particle merging and splitting (Genovesio and Olivo-Marin 2004; Jiang et al 2007), and particle motion heterogeneity (Genovesio et al 2006). …”
Section: Case Study: Particle Tracking (Pt)mentioning
confidence: 99%
“…Another approach, based on the linear assignment framework, is used in the software packages u-track (Jaqaman et al, 2008) and plusTipTracker (Applegate et al, 2011), where the cost optimization procedure is split into two steps: first, short trajectories are formed in a temporally greedy but spatially global fashion, which are then merged in a spatiotemporally global way to form complete tracks. Others have proposed to use fuzzy-logic reasoning to link detected objects (Jiang et al, 2007), but the resulting procedure is global neither in time nor in space, and is therefore not considered in our study.…”
Section: Background Informationmentioning
confidence: 98%