Recording and classifying the behaviour of laboratory rodents is a vital part of a wide range of studies ranging from the discovery of new drugs and detection of harmful side-effects to the biological control of agricultural pests. Until now, it has been a lengthy and painstaking task, requiring human observers to judge, count and record. But a new computerised system developed with EUREKAs help has done away with the need for human observers, revolutionising the way labs work around the world.
One of the key issues in the biological control of agricultural pests is to find the right natural enemy for a particular pest, for example, parasitic wasps attack pest insects like caterpillars, beetles, aphids, etc. ETHOVISION allows researchers to automate the observation process in the exploratory phase. It measures aspects of the insects behaviour in the laboratory (e.g. walking and flight speed, turning rate, time distribution of different areas in space) that have a predictive value for its performance in the field.
A video tracking linked to a computerised image analysis system automatically records and classifies the spatial orientation and movement of an animal, taking away all-too-human frailties such as variation in classification caused by tiredness or different observers.
Nicola Vatthauer | alfa
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