Dr. Jens Rittscher was appointed as a University Research Lecturer in 2013 and he is the first joint academic appointment between the Institute of Biomedical Engineering and the Nuffield Department of Medicine. In particular his work supports the Target Discovery Institute and Ludwig Institute of Cancer Research. In addition to his research in the field of biomedical imaging, Jens has worked extensively in the area of video surveillance, the automatic annotation of video, and understanding of volumetric seismic data.
Before coming to Oxford in 2013, Jens led the Computer Vision Laboratory at GE Global Research in Niskayuna, NY, USA. He joined GE in 2001 after completing his PhD at Oxford. During this time he was part of the Visual Dynamics Group led by Andrew Blake. He received his Diploma in Mathematics and Computer Science from the University of Bonn, Germany.
Jens held a position as an adjunct assistant professor at the Rensselaer Polytechnic Institute. He is a member of IEEE and acts as an elected member of the IEEE SPS Technical Committee on Bio Image and Signal Processing.
The aim of Jens' research is to enhance our understanding of complex biological processes through the analysis of image data that has been acquired at the microscopic scale. Jens develops algorithms and methods that enable the quantification of a broad range of phenotypical alterations, the precise localization of signalling events, and the ability to correlate such events in the context of the biological specimen. This work can be structured into the following three major areas:
- Analysis of shape, structure, and spatial context,
- Function and dynamic biological processes,
- Enablement of new imaging methods.
This algorithm development needs to be guided by a firm understanding of the broader application context which is indicated in the figure below. Sophisticated algorithms are now necessary to image increasingly complex model systems over an extended period of time. In order to understand the role of certain genetic modifiers we need to relate these to the image derived measurements and features.