A deep learning-based approach for unbiased kinematic analysis in CNS injury.

MotorBox and MotoRater systems are two novel marker-less kinematic analysis paradigms in mice, based on deep-learning algorithms generated with DeepLabCut.MotorBox and MotoRater systems are highly sensitive, accurate and unbiased in analyzing locomotor behavior in mice.MotorBox and MotoRater systems allow for sensitive detection of SCI-induced changes in movement metrics, including range of motion, gait, coordination, and speed.MotorBox and MotoRater systems allow for detection of movement metrics not measurable with the BMS.