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Related Experiment Video

Updated: Mar 28, 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

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

Priyanka Dutta1, Christina Lehmann1, Devang Odedra1

  • 1Buchmann Institute for Molecular Life Sciences and Institute of Biochemistry II, School of Medicine, Goethe University.

Journal of Visualized Experiments : Jove
|December 29, 2015
PubMed
Summary
This summary is machine-generated.

This study provides accessible protocols for quantitative analysis of developmental processes in C. elegans using open-source software. These methods enable detailed tracking and modeling of cellular dynamics for mutant phenotype identification.

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Area of Science:

  • Developmental Biology
  • Biophysics
  • Microscopy and Imaging

Background:

  • Quantitative analysis of developmental processes is essential for mechanistic modeling and mutant phenotype characterization.
  • Standardized protocols are needed for reproducible tracking and quantification in model organisms.

Purpose of the Study:

  • To present protocols for preparing Caenorhabditis elegans (C. elegans) for time-lapse microscopy.
  • To detail methods for tracking and quantifying developmental processes using open-source software.
  • To demonstrate the application of these methods for 3D cell-shape modeling and contractile flow analysis.

Main Methods:

  • Preparation protocols for C. elegans embryos and adults for short- and long-term time-lapse microscopy.
  • Utilizing open-source software including IMOD for 3D reconstruction, Endrov for manual tracking of subcellular structures, and PIVlab for cortical flow analysis.
  • Employing C. elegans strains from the Caenorhabditis Genetics Center for accessibility.

Main Results:

  • Demonstrated protocols for preparing C. elegans for advanced microscopy techniques.
  • Successfully applied open-source software for quantitative analysis of cell shape, subcellular structures, and cortical flow.
  • Showcased the versatility of the methods for various developmental tracking tasks.

Conclusions:

  • The presented methods offer a robust and accessible framework for quantitative developmental biology research.
  • These protocols can be implemented across different laboratories and microscopy systems.
  • The approach facilitates detailed analysis of cellular dynamics and aids in the identification of developmental defects.