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 Experiment Video

Updated: Jun 21, 2026

Tracking and Quantifying Developmental Processes in C. elegans Using Open-source Tools
10:41

Tracking and Quantifying Developmental Processes in C. elegans Using Open-source Tools

Published on: December 16, 2015

Tracking in cell and developmental biology.

Erik Meijering1, Oleh Dzyubachyk, Ihor Smal

  • 1Biomedical Imaging Group Rotterdam, Erasmus MC - University Medical Center Rotterdam, Department of Medical Informatics, P. O. Box 2040, 3000 CA Rotterdam, The Netherlands. meijering@imagescience.org

Seminars in Cell & Developmental Biology
|August 8, 2009
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

A lightweight network for segmenting tree-like structures in medical images.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society·2026
Same author

Multimodal animal health monitoring in extensive livestock production systems.

Frontiers in veterinary science·2026
Same author

Cell segmentation in microscopy images using a SAM-based U-Net architecture and a novel dataset.

Computer methods and programs in biomedicine·2026
Same author

OCT-based optic neuropathy diagnosis using explainable and privacy-preserving machine learning.

Scientific reports·2026
Same author

Medical hierarchical image classification via dual-geometry image-text learning.

Medical image analysis·2026
Same author

Multiple attention based deep multimodal fusion network for glaucoma and neurodegenerative disease diagnosis.

Scientific reports·2026
Same journal

Cilia and flagella - Current insights from diverse experimental systems.

Seminars in cell & developmental biology·2026
Same journal

Editorial for special issue "When should mathematical models be used in biology".

Seminars in cell & developmental biology·2026
Same journal

Conserved machinery, divergent functions: evolutionary plasticity of the STK36/ULK4 kinase complex in ciliogenesis and signaling.

Seminars in cell & developmental biology·2026
Same journal

Chemical biology tools for studying tissue development.

Seminars in cell & developmental biology·2026
Same journal

Tetrahymena as a model organism for cilia research.

Seminars in cell & developmental biology·2026
Same journal

Emerging Concepts in Cardiovascular Development and Regeneration.

Seminars in cell & developmental biology·2026
See all related articles

Biological data has exploded, making computational tools essential for analysis. This review covers automated tracking methods for live-cell imaging, crucial for analyzing motion from molecules to organisms.

Area of Science:

  • Life Sciences
  • Biotechnology
  • Microscopy

Background:

  • The rapid growth of biological data necessitates advanced computational tools.
  • Manual analysis of microscopy data is insufficient for complex datasets.
  • Automated tracking is vital for live-cell imaging experiments.

Purpose of the Study:

  • To survey recent literature on automated object tracking in microscopy.
  • To discuss trends and successes in computational tracking methods.
  • To cover applications across various biological scales.

Main Methods:

  • Literature review of computerized tracking methods.
  • Analysis of techniques for time-lapse microscopy image analysis.
  • Inclusion of methods for tracking cells, molecules, and organisms.

More Related Videos

Live Imaging Followed by Single Cell Tracking to Monitor Cell Biology and the Lineage Progression of Multiple Neural Populations
10:55

Live Imaging Followed by Single Cell Tracking to Monitor Cell Biology and the Lineage Progression of Multiple Neural Populations

Published on: December 16, 2017

Related Experiment Videos

Last Updated: Jun 21, 2026

Tracking and Quantifying Developmental Processes in C. elegans Using Open-source Tools
10:41

Tracking and Quantifying Developmental Processes in C. elegans Using Open-source Tools

Published on: December 16, 2015

Live Imaging Followed by Single Cell Tracking to Monitor Cell Biology and the Lineage Progression of Multiple Neural Populations
10:55

Live Imaging Followed by Single Cell Tracking to Monitor Cell Biology and the Lineage Progression of Multiple Neural Populations

Published on: December 16, 2017

Main Results:

  • Identified key trends in automated tracking development.
  • Highlighted successful applications of computational tracking in biology.
  • Covered a range of scales, from molecular to organismal levels.

Conclusions:

  • Computational tracking tools are indispensable for modern biological research.
  • Automated analysis ensures efficiency, consistency, and completeness in data processing.
  • Advancements in tracking methods significantly benefit cell and developmental biology.