Capturing Reality at BESSY II

3D image of BESSY II

The experimental hall at BESSY II (Berliner Elektronenspeicherring) is a constantly evolving space, featuring a diverse range of structures, devices, and experiments managed by various departments, companies, and individuals. This dynamic nature necessitates regular updates to ensure the floor plan accurately reflects the hall’s current state.

To address this, a video drone is deployed to capture the hall’s layout in real time. The footage is processed into high-resolution images and used for 3D reconstruction of the scene, which is rendered from an orthographic top-down perspective and seamlessly overlaid onto the floor plan. This method allows for efficient data comparison and updates, enabling more precise planning with the aid of modern digital tools.

Furthermore, the drone data facilitates the creation of a comprehensive 3D representation of the floor plan, providing enhanced visualization and deeper insights into the hall’s layout and infrastructure.

Other Collaborations


 

Predicting Perovskite Thin-Film Photovoltaic Performance from Photoluminescence Videos

Photovoltaics are a key technology to decarbonize the generation of energy. While perovskite thin-films are a promising option to build powerful next generation photovoltaics demonstrating high power conversion efficiencies, their manufacturing process remains unstable. We build a model that directly predicts the solar cell performance based on a video capturing the perovskite layer formation prior […]
 

Understanding lung diseases and optimizing their treatment

Understanding the distribution of nanoparticles after inhalation can lead to the discovery of novel, more effective drug delivering techniques. To this end we develop AI-based methods for semantic segmentation of the airways in non-dissected whole murine lungs, imaged with light sheet fluorescence microscopy. The analysis of airway properties in diseased lungs will furthermore shed light […]
Decorative Image for HI Collaboration Identifying structural features of zebrafishes, using Semantic Segmentation
 

Identifying structural features of zebrafishes, using Semantic Segmentation

Zebrafish have a certain genetic similarity to humans and vertebrates. Particularly, the use of embryos is attractive due to the small scale screening capacity. Furthermore, similar to genuine cellular in vitro approaches, zebrafish embryos are considered as alternatives to animal testing. Therefore, they play a fundamental role in the detection of environmental and human health […]