Joint meeting Manchester University's Biostats Group on "Statistical analysis of images"

Robert Aykroyd (Department of Statistics, University of Leeds)

Adaptive Bayesian  reconstruction of SPECT data.

Statistical approaches to image reconstruction have been developed over the last 20 years and now produce generally good results.  Although the approach has been widely accepted, there has been much discussion over precisely which models are most appropriate.  In this talk the Bayesian approach will be reviewed and the use of Bayesian adaptive smoothing proposed as a general model for image processing applications.

Chris Glasbey (Biomathematics and Statistics Scotland, JCMB)

Analysis of microarrays and electrophoresis gels

Micorarrays and gel electrophoresis are key technologies in genomics, and beyond.  Statistical models will be presented for automating the identification and quantification of spots or bands for a range of problems.  Methods take account of noise, spatial warping, image segmentation and use of reference datasets, and will be illustrated.

Charles Taylor (Department of Statistics, University of Leeds)

Muscle fibre images through point patterns and tesselations