All

Publications

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.

Download File

All

Convenings

Multimedia

Publications

Reports

The Post-Market Data Collection Toolkit, AMP Annual Meeting Slideset, April 2025

Read more
Image of the Micron Horizontal Track Sprayer spray nozzle in action. In the centre of the image is a red and gold nozzle on a silver and black metal track that is horizontal across the image. A fine stream of liquid is spraying downward from the nozzle. Behind the nozzle is a glass window with a silver metal frame.

All

Publications

Comparative analysis of the Potter Tower and a new Track Sprayer for the application of residual sprays in the laboratory

Read more
Diagram of pathway within a method validation framework for vector control tools.

All

Publications

“A bioassay method validation framework for laboratory and semi-field tests used to evaluate vector control tools”. Matope et al. Malaria Journal

Read more