Estimating Culicoides sonorensis biting midge abundance using digital image analysis

C. J. Osborne, C. E. Mayo, B. A. Mullens, Nigel J Maclachlan

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

ImageJ is an open-source software tool used for a variety of scientific objectives including cell counting, shape analysis and image correction. This technology has previously been used to estimate mosquito abundance in surveillance efforts. However, the utility of this application for estimating abundance or parity in the surveillance of Culicoides spp. (Diptera: Ceratopogonidae) has not yet been tested. Culicoides sonorensis (Wirth and Jones), a biting midge often measuring 2.0-2.5mm in length, is an economically important vector of ruminant arboviruses in California. Current surveillance methods use visual sorting for the characteristics of midges and are very time-intensive for large studies. This project tested the utility of ImageJ as a tool to assist in gross trap enumeration as well as in parity analysis of C.sonorensis in comparison with traditional visual methods of enumeration using a dissecting microscope. Results confirmed that automated counting of midges is a reliable means of approximating midge numbers under certain conditions. Further evaluation confirmed accurate and time-efficient parity analysis in comparison with hand sorting. The ImageJ software shows promise as a tool that can assist and expedite C.sonorensis surveillance. Further, these methods may be useful in other insect surveillance activities.

Original languageEnglish (US)
Pages (from-to)461-464
Number of pages4
JournalMedical and Veterinary Entomology
Volume28
Issue number4
DOIs
StatePublished - Dec 1 2014

Fingerprint

Culicoides sonorensis
Ceratopogonidae
digital images
digital image
image analysis
Parity
midges
monitoring
Software
sorting
Arboviruses
Cell Shape
Ruminants
shape analysis
software
Culicidae
arboviruses
Culicoides
Diptera
ruminant

Keywords

  • Culicoides sonorensis
  • Digital image analysis
  • ImageJ

ASJC Scopus subject areas

  • Insect Science
  • veterinary(all)
  • Ecology, Evolution, Behavior and Systematics
  • Parasitology

Cite this

Estimating Culicoides sonorensis biting midge abundance using digital image analysis. / Osborne, C. J.; Mayo, C. E.; Mullens, B. A.; Maclachlan, Nigel J.

In: Medical and Veterinary Entomology, Vol. 28, No. 4, 01.12.2014, p. 461-464.

Research output: Contribution to journalArticle

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