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A GIS Framework for Spatio-temporal Analysis and Visualization of Laboratory Mice Tracking Data
Authors:Mareike Kritzler  Martin Raubal  Antonio Krüger
Institution:Institute for Geoinformatics University of Münster; Department of Geography University of California at Santa Barbara; Institute for Geoinformatics University of Münster
Abstract:Knowing the locations and spatio‐temporal paths of individual mice is an essential prerequisite for behavioral analysis of large groups of laboratory mice. Traditional observations have been carried out by trained humans who are able to distinguish more than fifty behavioral patterns. This is a tedious labor limited with respect to length of observation time. In this paper we propose a tracking solution based on the integration of GIS and RFID (Radio Frequency Identification) technology to automatically collect 24h/7days of movement data. Appropriate cage design and antenna placement are discussed. A software solution is presented to facilitate the recording (JerryTS), visualization, and analysis (TOM) of mice movements.
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