Stephen J. M. O'Connor

This paper enhances the spatial resolution of soft X-ray tomography using physics-aware learning, improving structural fidelity and reducing radiation exposure.

This paper introduces a self-supervised model to correct missing wedge artifacts in soft X-ray tomography, improving volume quantification and morphology accuracy in cellular structures.

The paper demonstrates the SXT-100, a compact soft X-ray microscope, for correlative cryogenic biological imaging with high resolution and minimal sample damage.