ArticleBiophysical journal1987
Nanovid tracking: a new automatic method for the study of mobility in living cells based on colloidal gold and video microscopy.
Article in Biophysical journal, 1987. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers.
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Who cites it
55 citing papers in PubMed, 170 citations in OpenAlex.
- Optical Approaches to Dissect the Structure and Dynamics of the Synapse at Nanoscale Resolution.Advances in neurobiology · 2026Review
- Cellular optical imaging techniques: a dynamic advancing frontier.Science China. Life sciences · 2025Review
- Perspective: An outlook on fluorescence tracking.The Journal of chemical physics · 2025Article
- Using single molecule imaging to explore intracellular heterogeneity.The international journal of biochemistry & cell biology · 2023Review
- Article
- The Utility of Fluorescence Recovery after Photobleaching (FRAP) to Study the Plasma Membrane.Membranes · 2023Review
- Single-Molecule Imaging of Membrane Proteins on Vascular Endothelial Cells.Journal of lipid and atherosclerosis · 2023Review
- Toward dynamic, anisotropic, high-resolution, and functional measurement in the brain extracellular space.Neurophotonics · 2022Review
- A method for tracking the Brownian motion to estimate the size distribution of submicron particles in seawater.Limnology and oceanography, methods · 2022Article
- Classification-based motion analysis of single-molecule trajectories using DiffusionLab.Scientific reports · 2022Article
- A dominant-negative SOX18 mutant disrupts multiple regulatory layers essential to transcription factor activity.Nucleic acids research · 2021Article
- Three-dimensional localization refinement and motion model parameter estimation for confined single particle tracking under low-light conditions.Biomedical optics express · 2021Article
- Tracking single particles for hours via continuous DNA-mediated fluorophore exchange.Nature communications · 2021Article
- Detection of Anomalous Diffusion with Deep Residual Networks.Entropy (Basel, Switzerland) · 2021Article
- Impact of Feature Choice on Machine Learning Classification of Fractional Anomalous Diffusion.Entropy (Basel, Switzerland) · 2020Article
- Review
- Single-Virus Tracking: From Imaging Methodologies to Virological Applications.Chemical reviews · 2020Review
- High-Precision Protein-Tracking With Interferometric Scattering Microscopy.Frontiers in cell and developmental biology · 2020Article
- A Brief History of Single-Particle Tracking of the Epidermal Growth Factor Receptor.Methods and protocols · 2019Review
- Single-Nanoparticle Tracking with Angstrom Localization Precision and Microsecond Time Resolution.Biophysical journal · 2018Article
Corrections and comments
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We describe a new automatic technique for the study of intracellular mobility. It is based on the visualization of colloidal gold particles by video-enhanced contrast light microscopy (nanometer video microscopy) combined with modern tracking algorithms and image processing hardware. The approach can be used for determining the complete statistics of saltatory motility of a large number of individual moving markers. Complete distributions of jump time, jump velocity, stop time, and orientation can be generated. We also show that this method allows one to study the characteristics of random motion in the cytoplasm of living cells or on cell membranes. The concept is illustrated by two studies. First we present the motility of colloidal gold in an in vitro system of microtubules and a protein extract containing a kinesin-like factor. The algorithm is thoroughly tested by manual tracking of the videotapes. The second study involves the motion of gold particles microinjected in the cytoplasm of PTK-2 cells. Here the results are compared to a study using the spreading of colloidal gold particles after microinjection.
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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.