S. Lövestam

This paper introduces a deep-learning-based regularisation method for cryo-EM that improves reconstruction quality, enabling structure determination of smaller macromolecules with low signal-to-noise ratios.

This study uses cryo-EM to analyze intermediate structures in tau filament assembly, revealing shared and condition-dependent intermediates in Alzheimer's and CTE pathogenesis.

This paper describes a high-throughput cryo-EM approach for determining amyloid structures, including a new filament picking algorithm and image processing strategies in Relion.