Bioimaging (imaging as applied to cellular biology) is a vital tool used across the life sciences for observing cellular structures and processes. It plays a major role in the understanding of diseases and infections and in the development of new drugs and treatments; from cancer to Alzheimer's to HIV. Quantitative bioimaging is concerned with the quantitative analysis of bioimages.

Chemists, physicists, biophysicists and engineers are driving forward revolutionary advances in imaging and experimental techniques, allowing cellular processes and structures to be observed in unprecedented detail. The bioimaging community is producing vast quantities of data, creating an urgency for the quantitative methods needed to exploit them to their full potential and effectively draw inference upon the very biological mechanisms the technology has been developed to probe.

This conference will feature invited and contributed talks exploring state of the art methods for the
quantitative analysis of bioimaging data. Topics include:
  • Machine Learning
  • Spatial Statistics
  • Clustering
  • Correlative Imaging
  • Tracking
  • Statististical Signal Processing
This event is funded in part by the Quantitative Sciences Research Institute.