Jeremy C. Simpson

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.

This paper designs and tests artificial NK cell mimics that target tumor cells, showing they are non-toxic, evade macrophage detection, and inhibit sialylation in cancer cells.

This study compares denoising raw tilt series versus reconstructed tomograms in soft X-ray tomography, finding that denoising tilt series provides more reliable results and faster inference.