GPU-enhanced Biomedical Image Analysis

  • Li, David (Principal Investigator)
  • Nowotny, Thomas (Co-investigator)
  • Wu, Gang, School of Engineering and Informatics, University of Sussex (Post Grad Student)

Project: Research

Project Details


As recently rapid advances in image sensors and microscopy technologies, image data are usually humongous making image analysis a painstaking task. Without fast analysis strategies, fast acquisition systems cannot make real impact in biomedical or clinical research. This project aims to use the latest graphics processing units for fast fluorescence lifetime imaging.

This project is jointly supported by nVIDIA and China Scholarship Council. The research outcomes have led to a successful bid for the nVIDIA 2016 Graduate Fellowship ($25,000) awarded to the PhD student Gang Wu (University of Strathclyde/University of Sussex.
Effective start/end date1/06/1231/08/16


  • GPU acceleration
  • Fluorescence lifetime imaging
  • Imaging processing