ArticleScientific reports2018
HybTrack: A hybrid single particle tracking software using manual and automatic detection of dim signals.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed, 27 citations in OpenAlex.
- Article
- SMITracker: An Interactive Platform for Tracking and Analysis of Single-Molecule Interactions with Linear Substrates.Computational and structural biotechnology journal · 2026Article
- Accurate Single-Particle Tracking and Diffusion Measurement in Freestanding Lipid Bilayers and Model Membranes.Analytical chemistry · 2025Article
- Impact of temporal resolution in single particle tracking analysis.Discover nano · 2024Article
- u-track3D: Measuring, navigating, and validating dense particle trajectories in three dimensions.Cell reports methods · 2023Article
- Dynamics of axonal β-actin mRNA in live hippocampal neurons.Traffic (Copenhagen, Denmark) · 2022Article
- Characterization of Nanoparticles in Diverse Mixtures Using Localized Surface Plasmon Resonance and Nanoparticle Tracking by Dark-Field Microscopy with Redox Magnetohydrodynamics Microfluidics.ACS physical chemistry Au · 2022Article
- Real-time visualization of mRNA synthesis during memory formation in live mice.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- Classification-based motion analysis of single-molecule trajectories using DiffusionLab.Scientific reports · 2022Article
- MPTHub: An Open-Source Software for Characterizing the Transport of Particles in Biorelevant Media.Nanomaterials (Basel, Switzerland) · 2022Article
- Single molecule/particle tracking analysis program SMTracker 2.0 reveals different dynamics of proteins within the RNA degradosome complex in Bacillus subtilis.Nucleic acids research · 2021Article
- Single molecule tracking and analysis framework including theory-predicted parameter settings.Scientific reports · 2021Article
- Extracting Transition Rates in Particle Tracking Using Analytical Diffusion Distribution Analysis.Biophysical journal · 2020Article
- Monitoring the spatio-temporal organization and dynamics of the genome.Nucleic acids research · 2020Review
- Recent progress in single-molecule studies of mRNA localizationRNA biology · 2019Review
- Article
- MS2 Labeling of Endogenous Beta-Actin mRNA Does Not Result in Stabilization of Degradation Intermediates.Molecules and cells · 2019Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Single particle tracking is a compelling technique for investigating the dynamics of nanoparticles and biological molecules in a broad range of research fields. In particular, recent advances in fluorescence microscopy have made single molecule tracking a prevalent method for studying biomolecules with a high spatial and temporal precision. Particle tracking algorithms have matured over the past three decades into more easily accessible platforms. However, there is an inherent difficulty in tracing particles that have a low signal-to-noise ratio and/or heterogeneous subpopulations. Here, we present a new MATLAB based tracking program which combines the benefits of manual and automatic tracking methods. The program prompts the user to manually locate a particle when an ambiguous situation occurs during automatic tracking. We demonstrate the utility of this program by tracking the movement of β-actin mRNA in the dendrites of cultured hippocampal neurons. We show that the diffusion coefficient of β-actin mRNA decreases upon neuronal stimulation by bicuculline treatment. This tracking method enables an efficient dissection of the dynamic regulation of biological molecules in highly complex intracellular environments.
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Registered trials
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.