About the Project
The PhD student will use machine learning (DeepLabCut) to automate the kinematic analysis of reach-and-grasp by mice after treatment using a novel therapy for brain injury (stroke) based on movies captured by a new device: https://sotiriskakanos.com/category/mousebot/
The “horizontal ladder task” is often used but it takes many hours to analyse accuracy of foot placement from videos played in slow motion. https://www.jove.com/video/1204/the-ladderrung-walking-task-scoring-system-its-practical. The PhD student will use machine learning (DeepLabCut) to automate the identification of paws and limb joints during walking on the ladder for marker-less kinematic analysis.
DeepLabCut was published in Nature Neuroscience in 2018 (Mathis et al 2018). We have begun using this method for tracking digits of mice. See www.mousemotorlab.org/deeplabcut for beautiful examples of this algorithm developed by others.
The successful student will have existing skills in Python and machine learning. See the DeepLabCut GitHub for technical information.
Successful applicants will receive: Full International fees, airfare, visa application fees and annual stipend
See King's China Council Scholarships (K-CSC) at https://www.kcl.ac.uk/research/funding-opportunities/doctoral-research-opportunities/international-scholarships.aspx (scroll down to see it!)
Based on your current searches we recommend the following search filters.
Based on your current search criteria we thought you might be interested in these.
EPS2021/72: Novel algorithms for robust and scalable computational imaging: from deep learning, optimisation, and Bayesian inference theories, to applications in astronomy and medicine