Segmenting cell membranes in cryoET data

Segmenting cell membranes in cryoET data

In this project we develop semantic segmentation methods for accurate delineation of cell membranes in cryoET data. Not only do these segmentations enable the analysis of the spatial configuration of membranes, for example in chloroplasts, they also facilitate downstream analysis like determining the distribution of membrane proteins on their surface.

Other Collaborations


Extracting clinically relevant parameters from real-time MRI images of fontan hearts

Obtaining accurate segmentations of the heart in real-time MRI allows a more realistic view on clinically relevant parameters, such as the stroke volume. Cardiac real-time MRI can assess diastolic filling under breath maneuvers or other cardiac load situations which potentially enhances diagnostics other than CINE breath hold cardiac MRI. Real-time MRI allows rapid acquisitions during […]

Optimizing electrode geometry and surface for hydrogen production

Electrolysis of water into oxygen and hydrogen is a cornerstone of modern energy storage, electric mobility and the transition towards a net-zero-emissions industry. Maximizing the efficiency of this technology is key to its economically viable wide scale adoption. One approach to both reduce the costs and improve the overall efficiency is to enhance the bubble […]

Understanding and analyzing plant roots using semantic segmentation of MRI images

The optimization of plants has long focused on the above-ground parts. Recently, new efforts are being made to exploit the potential below ground. To this end, our partners at the FZJ have developed an imaging system which enables imaging the root system throughout the growth of the plants using MRI. Besides qualitative analysis, a precise […]