PhD proj.; Image Analysis using Deep Learning for Optical Super-resolution Microscopy of Living Samples
- Thesis: Image Analysis using Deep Learning for Optical Super-resolution Microscopy of Living Samples
- Supervisor 1: Prof. Clemens Kaminski, Laser Analytics Group, Cambridge University
- Supervisor 2: Prof. Pietro Lió, Computational Biology within Artificial Intelligence Group, Cambridge University
- Advisor: Dr Jérôme Boulanger, Senior Research at Laboratory for Molecular Biology, MRC
Imaging at high spatio-temporal resolution requires a trade-off with image quality leading to low signal-to-noise ratio in acquired data. This renders traditional image analysis methods to perform unreliably. In this thesis I propose methods for image reconstruction, denoising and segmentation using deep learning methods that are robust to noise.