ArticleBiophysical journal2005
Static and dynamic errors in particle tracking microrheology.
Article in Biophysical journal, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 173 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
173 citing papers in PubMed.
- Dynamic partitioning shapes the in vivo organization of theProceedings of the National Academy of Sciences of the United States of America · 2026Article
- CRISPR-Cas-based live cell imaging of genome dynamics.Nature reviews. Genetics · 2026Review
- Dynamic partitioning shapes thebioRxiv : the preprint server for biology · 2026Article
- An equilibrium rotator glass-forming phase for long-ranged repulsive colloidal rods.Nature communications · 2026Article
- Feature Selection and Hyperparameter Optimization for Machine Learned Classification of 3D Single-Particle Tracking.Chemical & biomedical imaging · 2026Article
- Methods to analyze cell migration data: fundamentals and practical guidelines.Nature methods · 2026Review
- Direct microsecond wide-field single-molecule tracking and super-resolution mapping via CCD vertical shift.Nature communications · 2025Article
- Roles of the membrane-binding motif and the C-terminal domain of RNase E in localization and diffusion ineLife · 2025Article
- High-Speed Interferometric Scattering Tracking Microscopy of Compartmentalized Lipid Diffusion in Living Cells.Chemphyschem : a European journal of chemical physics and physical chemistry · 2025Article
- Practical considerations for accurate estimation of diffusion parameters from single-particle tracking in living cells.The Journal of chemical physics · 2025Article
- Machine learning framework for investigating nano- and micro-scale particle diffusion in colonic mucus.Journal of nanobiotechnology · 2025Article
- Single-molecule imaging reveals the roles of the membrane-binding motif and the C-terminal domain of RNase E in its localization and diffusion inbioRxiv : the preprint server for biology · 2025Article
- Single-particle tracking of genetically encoded nanoparticles: Optimizing expression for cytoplasmic diffusion studies.Biophysical journal · 2025Article
- Practical considerations for accurate estimation of diffusion parameters from single-particle tracking in living cells.bioRxiv : the preprint server for biology · 2025Article
- Design and Characterization of Thioester Networks with Adaptable and Enzymatically Degradable Cross-Links.Macromolecules · 2025Article
- Macromolecular interactions and geometrical confinement determine the 3D diffusion of ribosome-sized particles in liveProceedings of the National Academy of Sciences of the United States of America · 2025Article
- Approximate Bayesian inference in a model for self-generated gradient collective cell movement.Computational statistics · 2025Article
- A computational study of the size effect of SiOJournal of molecular modeling · 2024Article
- Cell-Material Interactions in Covalent Adaptable Thioester Hydrogels.ACS biomaterials science & engineering · 2024Article
- A Rheological Study on the Effect of Tethering Pro- and Anti-Inflammatory Cytokines into Hydrogels on Human Mesenchymal Stem Cell Migration, Degradation, and Morphology.Biomacromolecules · 2024Article
113 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Particle tracking techniques are often used to assess the local mechanical properties of cells and biological fluids. The extracted trajectories are exploited to compute the mean-squared displacement that characterizes the dynamics of the probe particles. Limited spatial resolution and statistical uncertainty are the limiting factors that alter the accuracy of the mean-squared displacement estimation. We precisely quantified the effect of localization errors in the determination of the mean-squared displacement by separating the sources of these errors into two separate contributions. A "static error" arises in the position measurements of immobilized particles. A "dynamic error" comes from the particle motion during the finite exposure time that is required for visualization. We calculated the propagation of these errors on the mean-squared displacement. We examined the impact of our error analysis on theoretical model fluids used in biorheology. These theoretical predictions were verified for purely viscous fluids using simulations and a multiple-particle tracking technique performed with video microscopy. We showed that the static contribution can be confidently corrected in dynamics studies by using static experiments performed at a similar noise-to-signal ratio. This groundwork allowed us to achieve higher resolution in the mean-squared displacement, and thus to increase the accuracy of microrheology studies.
Indexed as
Identifiers
What OpenQuestion holds
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.