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Updated: Jun 21, 2026

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
Abstract:
The past decade has seen an unprecedented data explosion in biology. It has become evident that in order to take full advantage of the potential wealth of information hidden in the data produced by even a single experiment, visual inspection and manual analysis are no longer adequate. To ensure efficiency, consistency, and completeness in data processing and analysis, computational tools are essential. Of particular importance to many modern live-cell imaging experiments is the ability to automatically track and analyze the motion of objects in time-lapse microscopy images. This article surveys the recent literature in this area. Covering all scales of microscopic observation, from cells, down to molecules, and up to entire organisms, it discusses the latest trends and successes in the development and application of computerized tracking methods in cell and developmental biology.
