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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
A user-friendly software to easily count Anopheles egg batches
Parasites and Vectors, Volume 5, No. 1, Article 122, Year 2012
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Description
Background: Studies on malaria vector ecology and development/evaluation of vector control strategies often require measures of mosquito life history traits. Assessing the fecundity of malaria vectors can be carried out by counting eggs laid by Anopheles females. However, manually counting the eggs is time consuming, tedious, and error prone. Methods: In this paper we present a newly developed software for high precision automatic egg counting. The software written in the Java programming language proposes a user-friendly interface and a complete online manual. It allows the inspection of results by the operator and includes proper tools for manual corrections. The user can in fact correct any details on the acquired results by a mouse click. Time saving is significant and errors due to loss of concentration are avoided. Results: The software was tested over 16 randomly chosen images from 2 different experiments. The results show that the proposed automatic method produces results that are close to the ground truth. Conclusions: The proposed approaches demonstrated a very high level of robustness. The adoption of the proposed software package will save many hours of labor to the bench scientist. The software needs no particular configuration and is freely available for download on: http://w3.ualg.pt/hshah/ eggcounter/. © 2012 Mollahosseini et al.; licensee BioMed Central Ltd.
Authors & Co-Authors
Mollahosseini, Ali
Portugal, Faro
Universidade do Algarve
Rossignol, Marie
France, Montpellier
Maladies Infectieuses et Vecteurs : Écologie, Génétique, Évolution et Contrôle
Pennetier, Cédric
France, Montpellier
Maladies Infectieuses et Vecteurs : Écologie, Génétique, Évolution et Contrôle
Benin, Cotonou
Centre de Recherche Entomologique de Cotonou
Cohuet, Anna
France, Montpellier
Maladies Infectieuses et Vecteurs : Écologie, Génétique, Évolution et Contrôle
dos Anjos, António
Portugal, 8500-656 Portimão
Ismat - Instituto Superior Manuel Teixeira Gomes
Chandre, Fabrice
France, Montpellier
Maladies Infectieuses et Vecteurs : Écologie, Génétique, Évolution et Contrôle
Shahbazkia, Hamid Reza
Portugal, Faro
Universidade do Algarve
Statistics
Citations: 31
Authors: 7
Affiliations: 4
Identifiers
Doi:
10.1186/1756-3305-5-122
e-ISSN:
17563305
Research Areas
Infectious Diseases
Participants Gender
Female