Susan Cox

King's College London

Dr Susan Cox works at the Randall Centre for Cell and Molecular Biophysics, developing fluorescence microscopy techniques and applying them to discover new cell biology at the nanoscale. In 2011 she was awarded a Royal Society University Research Fellowship, which she used to develop a substantial research program based around localisation microscopy, and methods to extract more information from super-resolution image data. SC is best known as the developer of Bayesian analysis of blinking and bleaching (3B), a method for analysing extremely dense localisation microscopy image series. Its importance has been recognised with the award of the Royal Microscopical Society light microscopy medal and the Society of Experimental Biology Presidents Medal. More recently, she has explored the limits of localisation in terms of speed and accuracy. She mathematically described the role of the size of the point spread function size in limiting information transmission speed and developed a machine learning based approach to remove poor fits from the super resolution image. Since it is obviously more desirable to avoid poor fits in the first place, she developed Haar Wavelet Kernel analysis (HAWK), an approach to localisation microscopy data analysis which avoids artifacts and ensures the results reflect the underlying structure of the sample.