The Center for Advanced Mathematics for Energy Research Applications (CAMERA) is a US Department of
Energy-wide institute focused on building and deploying mathematical algorithms to accelerate our
ability to understand data coming out of synchrotron light sources. CAMERA, consisting of interdisciplinary
teams of applied mathematicians, statisticians, signal processors, computer scientists,...
Single particle analysis by Electron Microscopy is a well established technique to analyze the three-dimensional structure of biological macromolecules. The acquired images have a signal-to-noise ratio between 0.1 and 0.01 so that all the image processing steps require to be very robust to extremely high levels of noise. Machine and deep learning algorithms have such characteristics when...
In recent years, large-scale facilities such as synchrotrons have encountered a steep increase in demand for computational resources. This is mainly due to very large data rates and volumes and a growing interest by users in real-time feedback during an experiment. Additionally, using X-ray crystallography has gradually become a standard laboratory method rather than a scientific discipline...
We are exploiting possible applications of artificial intelligence at the German electron synchrotron (DESY) in Hamburg, in particular in the field of photon science. Our current focus is on the use of convolutional neural networks applied to 2D and 3D image analysis for life science.
We will present successful applied semantic segmentation of volumetric 3D synchrotron radiation...
In many cases obtaining results from a neutron scattering measurement is solving an inverse problem. Often this problem is solved by time consuming random guessing. However there may be hidden relationships between the model and the data that can be identified by machine learning to accelerate the solution process. A particularly powerful case has been demonstrated for systems with...
Grazing-incidence small-angle scattering (GISAS) is a well established technique to analyze thin multilayered films containing nano-sized objects. It offers a lot of benefits, however the data analysis is challenging and time-consuming.
Nowadays deep learning is widely applied in various areas of our all-day life. In many image analysis applications it achieves already a human-level...
