Computational Microscopy

The group lead by Prof. Pelz develops advanced algorithms for efficient processing, reliable reconstruction, and automated information extraction from multidimensional microscopy datasets, predominantly in electron and X-ray microscopy. We have expertise in deep learning, large-scale optimization, signal and image processing, and experimental design for advanced X-ray and electron microscopy experiments. We strive to not only develop algorithms but also optimize the data acquisition and experimental design to achieve accelerated and enhanced materials characterization.

For more information, please check: https://www.pelzlab.science/