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Related Experiment Video

Updated: Apr 14, 2026

A Semi-high-throughput Imaging Method and Data Visualization Toolkit to Analyze C. elegans Embryonic Development

A Semi-high-throughput Imaging Method and Data Visualization Toolkit to Analyze C. elegans Embryonic Development

Published on: October 29, 2019

LIVEtools : an R Package for Visualizing C. elegans Embryo Cell Tracking Data.

Yuntian Gan¹, Sreekar Kutagulla², John Isaac Murray¹

¹Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.

Micropublication Biology

|April 13, 2026

Summary

This summary is machine-generated.

LIVEtools simplifies C. elegans cell-tracking data visualization. This R package automates analysis of embryonic lineage, gene expression dynamics, and developmental defects, overcoming limitations of legacy tools.

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Isotropic Light-Sheet Microscopy and Automated Cell Lineage Analyses to Catalogue Caenorhabditis elegans Embryogenesis with Subcellular Resolution

Published on: June 6, 2019

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Last Updated: Apr 14, 2026

A Semi-high-throughput Imaging Method and Data Visualization Toolkit to Analyze C. elegans Embryonic Development

A Semi-high-throughput Imaging Method and Data Visualization Toolkit to Analyze C. elegans Embryonic Development

Published on: October 29, 2019

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

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

Published on: December 16, 2015

Isotropic Light-Sheet Microscopy and Automated Cell Lineage Analyses to Catalogue Caenorhabditis elegans Embryogenesis with Subcellular Resolution

Isotropic Light-Sheet Microscopy and Automated Cell Lineage Analyses to Catalogue Caenorhabditis elegans Embryogenesis with Subcellular Resolution

Published on: June 6, 2019

Area of Science:

Developmental Biology
Computational Biology
Genetics

Background:

Automated cell tracking in *C. elegans* embryos, using StarryNite, quantifies lineage, gene expression dynamics, and developmental defects.
Legacy visualization tools like AceTree are difficult to deploy, unstable on modern systems, and lack batch processing flexibility.

Purpose of the Study:

To introduce LIVEtools, an R package designed to simplify and automate *C. elegans* cell-tracking data visualization.
To provide a flexible and stable alternative to existing visualization tools for developmental biology research.

Main Methods:

Development of an R package, LIVEtools, for data visualization.
Utilizing cell tracking data generated by the StarryNite software pipeline.

Main Results:

LIVEtools offers a streamlined approach to visualizing complex *C. elegans* embryonic cell-tracking data.
The package addresses the deployment, stability, and flexibility issues associated with legacy tools.

Conclusions:

LIVEtools enhances the analysis of *C. elegans* developmental processes by providing accessible and automated data visualization.
This tool facilitates more efficient research into embryonic development, gene expression, and mutant phenotypes.