B. Tom Burnley

The paper introduces the CAHRA Challenge, a community-wide assessment of cryo-EM heterogeneous reconstruction algorithms using three benchmark datasets.

This paper introduces a deep learning method to improve single particle cryoEM data quality by automatically filtering noisy images using denoising and domain adaptation neural networks.

This paper introduces SISTM to map 3D synaptic nanoarchitecture in brain tissue across species using cryo-ET and STA, revealing conserved structural features in human postmortem tissue.

The paper introduces Roodmus, a toolkit for benchmarking heterogeneous cryo-EM reconstructions using synthetic data with known ground truth.