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Using Digital Image Analysis to Quantify Small Arthropod Vectors.

Christine Parker1,2, Morgan Meador1,2, Jeffrey P Hoover2

  • 1Department of Natural Resources and Environmental Sciences, University of Illinois, Urbana, IL.

Journal of Medical Entomology
|April 21, 2020
PubMed
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Automated image analysis using ImageJ software offers a fast and accurate method for quantifying black flies. This technique significantly reduces the time and training needed for arthropod vector counting.

Area of Science:

  • Entomology
  • Image Analysis
  • Vector Ecology

Background:

  • Quantifying arthropod vectors is crucial for epidemiological studies but often labor-intensive.
  • Traditional manual counting methods are time-consuming and prone to human error.
  • ImageJ, an open-source image processing software, presents a potential solution for efficient quantification.

Purpose of the Study:

  • To develop and validate an automated technique for counting black flies (Diptera: Simuliidae) using ImageJ.
  • To compare the accuracy of automated counts with manual counts.
  • To assess the efficiency and repeatability of the ImageJ-based quantification method.

Main Methods:

  • Black fly specimens were captured using CDC light traps baited with carbon dioxide across seven field sites.
Keywords:
ImageJSimuliidaearthropod countsautomatic countsblack flies

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  • Photographs of captured specimens were taken for subsequent analysis.
  • Manual counts were performed, and three automated counting methods within ImageJ were applied and compared using an information-theoretic approach.

    • Main Results:

    • Automated counts using ImageJ, particularly by adjusting particle size, closely matched manual counts.
    • Accuracy was consistently within 5% of manual counts, even for large sample sizes (tens to thousands of flies).
    • Automated counts were often identical to manual counts and provided conservative estimates when discrepancies occurred.

    Conclusions:

    • ImageJ provides a simple, repeatable, and minimally trained method for accurately quantifying small arthropods like black flies.
    • This automated technique significantly reduces the time required for arthropod vector quantification.
    • The method offers a valuable tool for researchers in entomology and vector ecology, enhancing efficiency in data collection.