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OptiMouse: a comprehensive open source program for reliable detection and analysis of mouse body and nose positions

Overview of attention for article published in BMC Biology, May 2017
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Title
OptiMouse: a comprehensive open source program for reliable detection and analysis of mouse body and nose positions
Published in
BMC Biology, May 2017
DOI 10.1186/s12915-017-0377-3
Pubmed ID
Authors

Yoram Ben-Shaul

Abstract

Accurate determination of mouse positions from video data is crucial for various types of behavioral analyses. While detection of body positions is straightforward, the correct identification of nose positions, usually more informative, is far more challenging. The difficulty is largely due to variability in mouse postures across frames. Here, we present OptiMouse, an extensively documented open-source MATLAB program providing comprehensive semiautomatic analysis of mouse position data. The emphasis in OptiMouse is placed on minimizing errors in position detection. This is achieved by allowing application of multiple detection algorithms to each video, including custom user-defined algorithms, by selection of the optimal algorithm for each frame, and by correction when needed using interpolation or manual specification of positions. At a basic level, OptiMouse is a simple and comprehensive solution for analysis of position data. At an advanced level, it provides an open-source and expandable environment for a detailed analysis of mouse position data.

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Mendeley readers

The data shown below were compiled from readership statistics for 110 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 110 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 21 19%
Student > Master 16 15%
Researcher 11 10%
Student > Doctoral Student 11 10%
Student > Bachelor 11 10%
Other 17 15%
Unknown 23 21%
Readers by discipline Count As %
Neuroscience 36 33%
Agricultural and Biological Sciences 17 15%
Medicine and Dentistry 9 8%
Engineering 5 5%
Biochemistry, Genetics and Molecular Biology 4 4%
Other 11 10%
Unknown 28 25%