Literature DB >> 23393760

New technique to count mosquito adults: using ImageJ software to estimate number of mosquito adults in a trap.

Banugopan Kesavaraju1, Sammie Dickson.   

Abstract

A new technique is described here to count mosquitoes using open-source software. We wanted to develop a protocol that would estimate the total number of mosquitoes from a picture using ImageJ. Adult mosquitoes from CO2-baited traps were spread on a tray and photographed. The total number of mosquitoes in a picture was estimated using various calibrations on ImageJ, and results were compared with manual counting to identify the ideal calibration. The average trap count was 1,541, and the average difference between the manual count and the best calibration was 174.11 +/- 21.59, with 93% correlation. Subsequently, contents of a trap were photographed 5 different times after they were shuffled between each picture to alter the picture pattern of adult mosquitoes. The standard error among variations stayed below 50, indicating limited variation for total count between pictures of the same trap when the pictures were processed through ImageJ. These results indicate the software could be utilized efficiently to estimate total number of mosquitoes from traps.

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Year:  2012        PMID: 23393760     DOI: 10.2987/12-6254R.1

Source DB:  PubMed          Journal:  J Am Mosq Control Assoc        ISSN: 8756-971X            Impact factor:   0.917


  3 in total

1.  Effective mosquito and arbovirus surveillance using metabarcoding.

Authors:  J Batovska; S E Lynch; N O I Cogan; K Brown; J M Darbro; E A Kho; M J Blacket
Journal:  Mol Ecol Resour       Date:  2017-05-15       Impact factor: 7.090

2.  The efficiency of a new automated mosquito larval counter and its impact on larval survival.

Authors:  W Mamai; H Maiga; M Gárdos; P Bán; N S Bimbilé Somda; A Konczal; T Wallner; A Parker; F Balestrino; H Yamada; J R L Gilles; J Bouyer
Journal:  Sci Rep       Date:  2019-05-15       Impact factor: 4.379

3.  Application of convolutional neural networks for classification of adult mosquitoes in the field.

Authors:  Daniel Motta; Alex Álisson Bandeira Santos; Ingrid Winkler; Bruna Aparecida Souza Machado; Daniel André Dias Imperial Pereira; Alexandre Morais Cavalcanti; Eduardo Oyama Lins Fonseca; Frank Kirchner; Roberto Badaró
Journal:  PLoS One       Date:  2019-01-14       Impact factor: 3.240

  3 in total

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