Techn. Fakultät Willkommen am Institut für Informatik FAU-Logo

Cell Image Processing

We aim to improve current cell image processing by modern approaches, such as deep learning-based segmentation and classification, as well as image processing to improve the quality of said images.

One modality we target is digital histology images (see image on right side). The image size produced by todays slide scanners is large (up to 90k times 90k pixels), and the number of singular cells on the images is thus high. In order to provide help for pathologists, it would be helpful to annotate different cell types, or even to show heatmaps of cell type densities for a improved selection process of an area for manual counting.