Automated tests

Automated behavioural screening in a home-cage environment

automated-testsInvestigations of rodent behaviour in the context of efficacy/safety studies and behavioural phenotyping of new models strongly benefit from automated monitoring systems with 24/7 video tracking.

These systems allow the automated collection of behavioural data and the analysis of many aspects of behaviour over a range of time frames. Vast reductions in the required man-hours to conduct experiments and the automated collection, analysis and visualization of the data guarantees behavioural testing at a higher cost efficiency.

Furthermore, behavioural testing in a home-cage environment, without any human intervention, reduces stress and thereby facilitates testing with high sensitivity and reproducibility.

Protocols for activity, anxiety and cognition

We are market leader in the development and implementation of automated behavioural testing using automated home-cages. Our tests target different behavioural domains, including activity, anxiety and cognition.

Our publications on automated home-cage screening

1Cognitive flexibility deficits in a mouse model for the absence of full-length dystrophin. Remmelink, Loos et al., Genes Brain Behav. 2016; 15:558
2The light spot test: measuring anxiety in mice in an automated home-cage environment. Aarts, Loos et al., Behav Brain Res. 2015; 294:123
3Within-strain variation in behavior differs consistently between common inbred strains of mice. Loos et al., Mamm Genome. 2015; 26:348
A 1-night operant learning task without food-restriction differentiates among mouse strains in an automated home-cage environment. Remmelink, Loos et al., Behav Brain Res. 2015; 283:53
5Cognitive impact of cytotoxic agents in mice. Seigers, Loos et al., Psychopharmacology (Berl). 2015; 232:17
6Sheltering behavior and locomotor activity in 11 genetically diverse common inbred mouse strains using home-cage monitoring. Loos et al., PLoS One. 2014; 9:e108563
7Hyperactivity, perseveration and increased responding during attentional rule acquisition in the Fragile X mouse model. Kramvis, Loos et al., Front Behav Neurosci. 2013; 7:172
8High-throughput phenotyping of avoidance learning in mice discriminates different genotypes and identifies a novel gene. Maroteaux, Loos et al., Genes Brain Behav. 2012; 11:772