Uwe Ohler's Research Group
Image expression analysis
Image analysis is a relatively young sub-field in computational biology, but has become increasingly mainstream with the arrival of high-throughput microscopy data. We are particularly interested in such data as "high-resolution gene expression data", i.e. to use it to obtain and utilize information on the spatiotemporal expression of genes.
Expresion levels from confocal images.
Dan Mace has developed a prototype to determine tissue-specific expression levels from confocal microscopy images. Our current dataset shows the expression of Arabidopsis transcription factors important for root development. Look at example pictures for a first impression of this work. Contains many beautiful pictures.
Comparing spatial expression profiles.
A second ongoing project deals with the issue of appropriate distance metrics to compare spatial expression patterns. Here, we make use of Drosophila embryo RNA in situ hybridization images. First results should become available during 2008.