PhD thesis: Deep Learning for Image Processing in Optical Super-resolution Microscopy

  • 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.

Charles Nicklas Christensen
Charles Nicklas Christensen
PhD, AI researcher
Machine learning for drug discovery

My research interests include drug discovery, deep learning and imaging.