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The Automatic Classification of Pyriproxyfen-Affected Mosquito Ovaries

An image of 6 circles increasing in size, length and proportion of dark to white colouration from left to right, categorised into five numerical categories with the first five circles labelled infertile. The image represents Christopher stages of egg development. Mosquitos whose eggs have fully developed to stage V (normal elongated, boat/sausage-shaped eggs with lateral floats) are classified as ‘fecund’ or ‘fertile’. If eggs have not fully developed and remain in stages I–IV (less elongated, round shape, lacking floats), the mosquito is classified as ‘non-fecund’ or ‘infertile’.

A new method for measuring the effect of pyriproxyfen on mosquito fertility using a machine learning approach has been published.

Using a Convolutional Neural Network (CNN) model, researchers were able to automatically classify the fertility status of ovaries from PPF-exposed female mosquitoes. This recent work by members of I2I was published as part of the special issue on mosquito control in the journal Insects.

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Image of 8 circles in a linear zig-zag shape to demonstrate the possible approaches to achieve sufficient standardisation or characterisation of pyrethroid-resistant mosquitoes used for bioefficacy bioassays of dual-AI ITNs to compile, compare, and interpret results across studies

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Strain Characterisation for Measuring Bioefficacy of ITNs Treated with Two Active Ingredients (Dual-AI ITNs): Developing a Robust Protocol by Building Consensus

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Infographic showing a red arrow pointing from left to right with four circles increasing in size from left to right representing four milestones in the process of method development used for producing consensus SOPs for biological durability monitoring of new net types

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Developing Consensus Standard Operating Procedures (SOPs) to Evaluate New Types of Insecticide-Treated Nets

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