Assessment of locomotion in chlorine exposed mice by computer vision and neural networks
Assessment of locomotion in chlorine exposed mice by computer vision and neural networks
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DOI:
10.1152/japplphysiol.01023.2011
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发表时间:
2012-03-01
影响因子:
3.3
通讯作者:
Matalon, Sadis
中科院分区:
文献类型:
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作者:
Filippidis, Aristotelis S.;Zarogiannis, Sotirios G.;Matalon, Sadis
Filippidis AS, Zarogiannis SG, Randich A, Ness TJ, Matalon S. Assessment of locomotion in chlorine exposed mice by computer vision and neural networks. J Appl Physiol 112: 1064-1072, 2012. First published December 29, 2011; doi: 10.1152/japplphysiol.01023.2011.-Assessment of locomotion following exposure of animals to noxious or painful stimuli can offer significant insights into underlying mechanisms of injury and the effectiveness of various treatments. We developed a novel method to track the movement of mice in two dimensions using computer vision and neural network algorithms. By using this system we demonstrated that mice exposed to chlorine (Cl-2) gas developed impaired locomotion and increased immobility for up to 9 h postexposure. Post-exposure administration of buprenorphine, a common analgesic agent, increased locomotion and decreased immobility times in Cl-2- but not air-exposed mice, most likely by decreasing Cl-2-induced pain. This method can be adapted to assess the effectiveness of various therapies following exposure to a variety of chemical and behavioral noxious stimuli.