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Comparative Research Projects

Adaptation to Nerve Injury

When we get injured, new movement limitations force us to re-learn how to interact with the world around us. Our strategies during this learning process can reveal what we prioritize and may inform rehabilitation approaches to help us get better faster. We investigate this process of adaptation by combining new techniques in neuro-modulation to temporarily turn off peripheral nerve signaling with high speed bi-planar x-ray video to accurately capture animal movement. Our lab has developed machine learning-based computer vision models that allow for more robust analysis of this adaptation process.

Lab Members: Nathan Kirkpatrick

Modeling Rat Locomotion

In the context of biomechanics, studying rat locomotion and analyzing joint angles is highly valuable. We utilize biplanar X-ray videos to create a three-dimensional model of rat locomotion, which yields important data such as 3D joint angles for both healthy and osteoarthritis rats. To achieve this, bone landmarks are identified and tracked using DeepLabCut software, followed by the computation of the 3D positions of these landmarks with XMALab software. Subsequently, a generic STL model of the hind limb bones—including the pelvis, femur, tibia, fibula, and foot—sourced from OpenSim software, is registered with the computed bone landmarks. This registration facilitates the anatomical definition of joint axes. Finally, joint angles are calculated using relative Euler angles. Upcoming animations will showcase the sagittal and frontal views of rat locomotion, illustrating flexion-extension and abduction-adduction movements, respectively.

Lab Members: Dr. Mohammadali Rahmati

Mammalian Climbing

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Lab Members: Cassie Shriver

Collaborators: Dr. David Hu, Zoo Atlanta

Stance Mechanisms of Flamingos

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Lab Members: Skylar Taylor