Assessment of behaviour in groups of zebrafish (Danio rerio) using an intelligent software monitoring tool, the chromatic fish analyser

Abstract

BackgroundZebrafish (Danio rerio) are an increasingly popular model species within a variety of biomedical and neurobiological contexts. Researchers are required to prevent any negative states, such as pain, when using experimental animals to optimise fish welfare but analysis tools for zebrafish are lacking. New methodThe chromatic fish analyser (CFA) is a computer-based monitoring system that has the potential to identify changes in fish behaviour via spatial chromatic analysis of video images. The CFA was used to monitor the behaviour of groups of six fish, where none, one, three or six fish were given a fin clip. Additionally a drug with pain-relieving properties, lidocaine, was administered to determine if this ameliorated any alterations in behaviour. The CFA measured hue horizontally and vertically reflecting the position of the fish in their tank. Saturation (indicates clustering distribution) and lightness were measured to reflect overall zebrafish activity. ResultsChanges in vertical hue demonstrated that all fin clipped animals were closer to the bottom of the tank relative to pre-treatment; this was not observed in control groups, and was alleviated in those treated with lidocaine. Saturation (clustering) and lightness alterations indicated fin clipped groups reduced activity after receiving the fin clip. Lidocaine was effective in preventing the behavioural changes when 1 or 3 fish were clipped. ConclusionsThe CFA proved powerful enough to identify significant changes in behaviour taken directly from video images. With further development this monitoring tool represents a step forward in detecting behavioural changes in groups of zebrafish indicating welfare.