Quantifying the Accuracy of C. elegans Image Analysis


The nematode Caenorhabditis elegans is an important model organism for many areas of biological research including genetics, development, and neurobiology. A common technique used in studying the locomotion of the worm is to take video of the worm in motion and analyze it to extract relevant data. A number of different software solutions exist to analyze these videos, yet there is no technique to determine the accuracy of the statistics being produced. We have developed a method to quantify the accuracy of a given analysis pipeline by using video of a biologically accurate simulation. Using this process we develop a metric to quantify the accuracy of a given pipeline, and we demonstrate this metric by comparing different implementations of a popular pipeline. Keywords-Image analysis; Feature extraction; Caenorhabditis elegans; Simulation

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@inproceedings{Graves2011QuantifyingTA, title={Quantifying the Accuracy of C. elegans Image Analysis}, author={Jacob Graves and Roger Mailler}, year={2011} }