BioControl (2016) 61, 177-183

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Bo H. Holladay, Denis S. Willett and Lukasz L. Stelinski (2016)
High throughput nematode counting with automated image processing
BioControl 61 (2), 177-183
Abstract: Nematode counting forms the basis for almost every assay in nematology: population surveys and culture density estimates all rely on accurate, rapid nematode counting. Accurate, rapid nematode counting is especially important for bioassays of entomopathogenic nematodes used for biological control. While manual microscope-based counting has traditionally been the standard, automated image processing holds promise for high-throughput nematode counting. Here we develop image capture and processing techniques to facilitate standard curve development and automated counting of two species of entomopathogenic nematodes. The techniques not only produce accurate nematode counts but also are rapid: timesavings over traditional manual counting are large and increase with increasing sample size. These techniques will likely be generally useful for quantification of all nematode species and potentially other small animals requiring quantification using microscopy.
(The abstract is excluded from the Creative Commons licence and has been copied with permission by the publisher.)
Link to article at publishers website

Database assignments for author(s): Lukasz Stelinski

Research topic(s) for pests/diseases/weeds:
biocontrol - natural enemies
Research topic(s) for beneficials or antagonists:
general biology - morphology - evolution

Pest and/or beneficial records:

Beneficial Pest/Disease/Weed Crop/Product Country Quarant.
Heterorhabditis indica/Photorhabdus (entomopathogen)
Steinernema diaprepesi (entomopathogen)