معرفی
Tomas Ekeberg is a Researcher at the Department of Cell and Molecular Biology; Molecular Biophysics at Uppsala University, part of the Faculty of Science and Engineering. His work focuses on advanced imaging techniques using X-ray free-electron lasers (XFELs) and coherent diffraction imaging to study biological macromolecules, nanoparticles, and heterogeneous samples. He specializes in applying machine learning and computational methods to improve phase retrieval, noise reduction, and 3D reconstruction in single-particle imaging.
Ekeberg's research addresses challenges such as background noise impact, orientation estimation in particle imaging, and high-throughput analysis of nanoparticle ensembles. He has contributed to innovations like 3D-printed sample delivery systems for XFEL experiments and unsupervised learning approaches for heterogeneous sample characterization. His work bridges experimental biophysics, computational science, and materials engineering.
Key projects include imaging single proteins with ultrafast X-ray diffraction, resolving shape variations in gold nanoparticles, and developing tools like the Condor simulation framework for flash X-ray imaging. His research has implications for structural biology, nanotechnology, and the advancement of X-ray photon science.
