We are working with the School of Physics and Astronomy, in collaboration with clinicians and researchers from the UCL Institute of Ophthalmology and University Hospitals Southampton to improve the detection of cilia features in Transmission Electron Microscopy (TEM) images. We have developed software that uses Deep Neural Networks and Machine Learning to automatically detect cilia regions. This automation improves the accuracy of detecting abnormalities in cilia, which plays a critical role in diagnosing Primary Ciliary Dyskinesia, and also saves time and reduces the cost of the process. The deep learning tool is adaptable to other TEM-based feature detection research, which will increase its impact across medical and scientific fields.
“Working with SRSG, and especially with Mehtap on this project, has been indispensable for running multi-disciplinary projects that would have otherwise been impossible.”
Professor Diego Altamirano
Southampton Theory Astrophysics and Gravity, School of Physics & Astronomy