ArticleBiophysical journal2006
Analysis of transient behavior in complex trajectories: application to secretory vesicle dynamics.
Article in Biophysical journal, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 72 papers.
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Who cites it
72 citing papers in PubMed, 166 citations in OpenAlex.
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- Vesicle docking and fusion pore modulation by the neuronal calcium sensor Synaptotagmin-1.Biophysical journal · 2025Article
- Vesicle docking and fusion pore modulation by the neuronal calcium sensor Synaptotagmin-1.bioRxiv : the preprint server for biology · 2024Article
- Trajectory Analysis in Single-Particle Tracking: From Mean Squared Displacement to Machine Learning Approaches.International journal of molecular sciences · 2024Review
- Cell Membrane Tension Gradients, Membrane Flows, and Cellular Processes.Physiology (Bethesda, Md.) · 2024Review
- Slow kinesin-dependent microtubular transport facilitates ribbon synapse assembly in developing cochlear inner hair cells.bioRxiv : the preprint server for biology · 2024Article
- TrajPy: empowering feature engineering for trajectory analysis across domains.Bioinformatics advances · 2024Article
- Interface extension is a continuum property suggesting a linkage between AP contractile and DV lengthening processes.Molecular biology of the cell · 2022Article
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- FisB relies on homo-oligomerization and lipid binding to catalyze membrane fission in bacteria.PLoS biology · 2021Article
- The coordination of spindle-positioning forces during the asymmetric division of the Caenorhabditis elegans zygote.EMBO reports · 2021Article
- Fundamentals of the logarithmic measure for revealing multimodal diffusion.Biophysical journal · 2021Article
- An Estimation Algorithm for General Linear Single Particle Tracking Models with Time-Varying Parameters.Molecules (Basel, Switzerland) · 2021Article
- Short Trajectory Segmentation With 1D Unet Framework: Application To Secretory Vesicle Dynamics.Proceedings. IEEE International Symposium on Biomedical Imaging · 2020Article
- Viscoelastic voyages - Biophysical perspectives on cell intercalation during Drosophila gastrulation.Seminars in cell & developmental biology · 2020Review
- Cell ratcheting through the Sbf RabGEF directs force balancing and stepped apical constriction.The Journal of cell biology · 2019Article
12 more citing papers are in PubMed but not listed here.
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Analysis of trajectories of dynamical biological objects, such as breeding ants or cell organelles, is essential to reveal the interactions they develop with their environments. Many previous works used a global characterization based on parameters calculated for entire trajectories. In cases where transient behavior was detected, this usually concerned only a particular type, such as confinement or directed motion. However, these approaches are not appropriate in situations in which the tracked objects may display many different types of transient motion. We have developed a method to exhaustively analyze different kinds of transient behavior that the tracked objects may exhibit. The method discriminates stalled periods, constrained and directed motions from random dynamics by evaluating the diffusion coefficient, the mean-square displacement curvature, and the trajectory asymmetry along individual trajectories. To detect transient motions of various durations, these parameters are calculated along trajectories using a rolling analysis window whose width is variable. The method was applied to the study of secretory vesicle dynamics in the subplasmalemmal region of human carcinoid BON cells. Analysis of transitions between transient motion periods, combined with plausible assumptions about the origin of each motion type, leads to a model of dynamical subplasmalemmal organization.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.