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Real-Time Selective Markerless Tracking of Forepaws of Head Fixed Mice Using Deep Neural Networks.


ABSTRACT: Here, we describe a system capable of tracking specific mouse paw movements at high frame rates (70.17?Hz) with a high level of accuracy (mean?=?0.95, SD?

SUBMITTER: Forys BJ 

PROVIDER: S-EPMC7307631 | biostudies-literature | 2020 May/Jun

REPOSITORIES: biostudies-literature

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Real-Time Selective Markerless Tracking of Forepaws of Head Fixed Mice Using Deep Neural Networks.

Forys Brandon J BJ   Xiao Dongsheng D   Gupta Pankaj P   Murphy Timothy H TH  

eNeuro 20200501 3


Here, we describe a system capable of tracking specific mouse paw movements at high frame rates (70.17 Hz) with a high level of accuracy (mean<i> </i>=<i> </i>0.95, SD<i> </i><<i> </i>0.01). Short-latency markerless tracking of specific body parts opens up the possibility of manipulating motor feedback. We present a software and hardware scheme built on DeepLabCut-a robust movement-tracking deep neural network framework-which enables real-time estimation of paw and digit movements of mice. Using  ...[more]

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