The Automatic Classification of Pyriproxyfen-Affected Mosquito Ovaries

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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Strain Characterisation for Measuring Bioefficacy of ITNs Treated with Two Active Ingredients (Dual-AI ITNs)

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

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