Title |
OptiMouse: a comprehensive open source program for reliable detection and analysis of mouse body and nose positions
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Published in |
BMC Biology, May 2017
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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. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 3 | 43% |
United Kingdom | 2 | 29% |
Hong Kong | 1 | 14% |
Unknown | 1 | 14% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 5 | 71% |
Scientists | 1 | 14% |
Science communicators (journalists, bloggers, editors) | 1 | 14% |
Mendeley readers
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% |