Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Super-resolution Fluorescence Microscopy01:37

Super-resolution Fluorescence Microscopy

Super-resolution fluorescence microscopy (SRFM) provides a better resolution than conventional fluorescence microscopy by reducing the point spread function (PSF). PSF is the light intensity distribution from a point that causes it to appear blurred. Due to PSF, each fluorescing point appears bigger than its actual size, and it is the PSF interference of nearby fluorophores that causes the blurred image. Various approaches to achieving higher resolution through SRFM have recently been developed.
Confocal Fluorescence Microscopy01:16

Confocal Fluorescence Microscopy

Confocal microscopy is an advanced microscopic technique. The prime advantage of the confocal microscope over other microscopy techniques is its ability to block the out-of-focus light from the illuminated samples using pinholes. It is widely used with fluorescence optics to obtain high-resolution, sharp contrast images. Unlike optical microscopes, confocal microscopes use a focused beam of light laser to scan the entire sample surface at different z-planes. These microscopes are, therefore,...
Protein Dynamics in Living Cells01:19

Protein Dynamics in Living Cells

Different fluorescence-based techniques are used to study the protein dynamics in living cells. These techniques include FRAP, FRET, and PET.
Fluorescent recovery after photobleaching (FRAP) is a fluorescent-protein-based detection technique used to quantify protein movement rates within the cell. This method exposes a small portion of the cell to an intense laser beam. The laser beam causes permanent photobleaching of the fluorophore-tagged proteins in the exposed region. As the bleached...
Total Internal Reflection Fluorescence Microscopy01:05

Total Internal Reflection Fluorescence Microscopy

Total internal reflection fluorescence microscopy or TIRF is an advanced microscopic technique used to visualize fluorophores in samples close to a solid surface with a higher refractive index, such as a glass coverslip. TIRF only allows fluorophores in proximity to the solid surface to be excited. When light from a medium with a lower refractive index (such as air) hits the glass coverslip at a critical angle, the light undergoes total internal reflection stead of passing through the glass.

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Author Correction: An endosomal tether undergoes an entropic collapse to bring vesicles together.

Nature·2025
Same author

Hepatocyte differentiation requires anisotropic expansion of bile canaliculi.

Development (Cambridge, England)·2024
Same author

Virtual tissue microstructure reconstruction across species using generative deep learning.

PloS one·2024
Same author

Phenotypic characterization of liver tissue heterogeneity through a next-generation 3D single-cell atlas.

Scientific reports·2024
Same author

Author Correction: Reconstitution of Rab- and SNARE-dependent membrane fusion by synthetic endosomes.

Nature·2024
Same author

Validation of AI-based software for objectification of conjunctival provocation test.

The journal of allergy and clinical immunology. Global·2023
Same journal

Numerical modeling of fluid exchange between a collecting lymphatic vessel and the surrounding tissue.

Journal of mathematical biology·2026
Same journal

A perception-memory PDE framework for seasonal migration dynamics.

Journal of mathematical biology·2026
Same journal

Dynamic resource allocation in eukaryotic Resource Balance Analysis.

Journal of mathematical biology·2026
Same journal

Discrete-time exploitative competition model of different stage-specific predators.

Journal of mathematical biology·2026
Same journal

Spatiotemporal SEIQR Epidemic Modeling with Optimal Control for Vaccination, Treatment, and Social Measures.

Journal of mathematical biology·2026
Same journal

Phenotypic plasticity trade-offs in an age-structured model of bacterial growth under stress.

Journal of mathematical biology·2026
See all related articles

Related Experiment Video

Updated: Jul 5, 2026

3D Orbital Tracking in a Modified Two-photon Microscope: An Application to the Tracking of Intracellular Vesicles
11:28

3D Orbital Tracking in a Modified Two-photon Microscope: An Application to the Tracking of Intracellular Vesicles

Published on: October 1, 2014

Multiple objects tracking in fluorescence microscopy.

Yannis Kalaidzidis1

  • 1Max-Planck Institute of Molecular Cell Biology and Genetics, Pfotenhauerstrasse 108, 01307, Dresden, Germany. kalaidzi@mpi-cbg.de

Journal of Mathematical Biology
|May 15, 2008
PubMed
Summary
This summary is machine-generated.

This study reviews non-biological tracking algorithms for analyzing intracellular vesicle and molecule movement. These methods enhance understanding of cellular dynamics through precise object detection and tracking.

More Related Videos

Tracking Single Proteins in Lipid Bilayers Using Fluorescence Microscopy
08:39

Tracking Single Proteins in Lipid Bilayers Using Fluorescence Microscopy

Published on: December 12, 2025

Single-Molecule Tracking Microscopy - A Tool for Determining the Diffusive States of Cytosolic Molecules
10:20

Single-Molecule Tracking Microscopy - A Tool for Determining the Diffusive States of Cytosolic Molecules

Published on: September 5, 2019

Related Experiment Videos

Last Updated: Jul 5, 2026

3D Orbital Tracking in a Modified Two-photon Microscope: An Application to the Tracking of Intracellular Vesicles
11:28

3D Orbital Tracking in a Modified Two-photon Microscope: An Application to the Tracking of Intracellular Vesicles

Published on: October 1, 2014

Tracking Single Proteins in Lipid Bilayers Using Fluorescence Microscopy
08:39

Tracking Single Proteins in Lipid Bilayers Using Fluorescence Microscopy

Published on: December 12, 2025

Single-Molecule Tracking Microscopy - A Tool for Determining the Diffusive States of Cytosolic Molecules
10:20

Single-Molecule Tracking Microscopy - A Tool for Determining the Diffusive States of Cytosolic Molecules

Published on: September 5, 2019

Area of Science:

  • Cell Biology
  • Biophysics
  • Biotechnology

Background:

  • Cellular processes rely on the movement of intracellular vesicles and molecules.
  • Understanding cellular dynamics necessitates tracking these individual entities.
  • Existing tracking algorithms often originate from non-biological disciplines.

Purpose of the Study:

  • To introduce and evaluate tracking algorithms developed in non-biological fields.
  • To demonstrate the successful application of these algorithms in biological contexts.
  • To compare the characteristic features of various tracking algorithms for biological applications.

Main Methods:

  • Review and adaptation of established object detection and tracking algorithms from fields like computer vision and engineering.
  • Application of selected algorithms to analyze the movement of intracellular vesicles and single molecules in biological samples.
  • Comparative analysis of algorithm performance based on key characteristics and suitability for biological data.

Main Results:

  • Demonstrated successful implementation of non-biological tracking algorithms for biological object tracking.
  • Identified specific algorithms well-suited for analyzing intracellular vesicle and molecule dynamics.
  • Provided a comparative overview of algorithm features, aiding in selection for specific research needs.

Conclusions:

  • Non-biological tracking algorithms offer powerful tools for advancing cell biology research.
  • The adaptation of these algorithms significantly improves the understanding of cellular dynamics.
  • Algorithm selection should be guided by a clear understanding of their comparative features and application requirements.