Biomedical Image and Data Analysis

Imaging provides the data; the finding only emerges from the analysis. The group processes microscopy and histology images quantitatively in order to study cell structures, their function and disease mechanisms, and develops learning methods for this purpose, from generative models for training data to segmentation and tracking over time.

The same methods carry beyond microscopy: into neuroinformatics, into artificial vision for retinal implants and into the analysis of behavioural data.

Research Topics

Neuroinformatics

  Motivation Optical measurement methods using fluorescent dyes make it possible to observe brain activity in larger neuron populations or entire brain regions. With the technical…

Artificial Vision Through Retinal Implants

  Motivation More than 43 million people worldwide are affected by blindness, and the number of those affected is rising continuously. In…

Automatic Detection of Stress Indicators in Laboratory Animals Based on Video Recordings

  Motivation Many kinds of animal experiment have to be assessed with regard to the degree of severity at which the burden on the animals is…

Synthesis, Segmentation, and Tracking of Live Cell Microscopy Image Data

Motivation Developmental biology focuses on investigating the processes by which cells migrate, interact and divide. The analysis in particular…