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Comparison of tracking methods in respect of automation of an animal behavioral test

Mazur-Milecka M., Nowakowski A.

Metrology and Measurement Systems

2011

Vol. 18, nr 1

91-104

Automation in experiments carried out on animals is getting more and more important in research. Computers take over laborious and time-consuming activities like recording and analysing images of the experiment scene. The first step in an image analysis is finding and distinguishing between the observed animals and then tracking all objects during the experiment. In this paper four tracking methods are presented. Quantitative and qualitative figures of merit are applied to confront those methods. The comparison takes into consideration the level of correct object recognition during different disturbances, the speed of computation, requirements as to the frame rate and image illumination, quality of recovering from occluded situations and others.

An automated system for analysis of mouse movement activity

Mazur-Milecka M., Nowakowski A.

Biocybernetics and Biomedical Engineering

2010

Vol. 30, no. 2

55-65

In this paper an automatic system for measuring motor abilities of mice and the test results of two groups of control mice are presented. The system was designed for the benefit of experiments related to diagnostics of stroke neurological symptoms. Here we tested the validity of a system for monitoring long-term mobility of wild mice using software specifically designed for automated data gathering and analyses. The system analysed all data and filled the database with measured values characterizing the mobility of mice. Subsequent analysis revealed that there is no difference in two groups of control animals. The results indicate that this type of monitoring might constitute a reliable tool for examining neurological functions in laboratory animals.