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Quantifying the Accuracy of C. elegans Image Analysis

Authors:
Jacob Graves
Roger Mailler

Keywords: Image analysis; Feature extraction; Caenorhabditis elegans; Simulation

Abstract:
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.

Pages: 37 to 42

Copyright: Copyright (c) IARIA, 2011

Publication date: May 22, 2011

Published in: conference

ISSN: 2308-4383

ISBN: 978-1-61208-137-3

Location: Venice/Mestre, Italy

Dates: from May 22, 2011 to May 27, 2011