Andrew Seeber

Physics Augmented U-Net: A High-Frequency Aware Generative Prior for Microscopy

The paper introduces a Physics Augmented U-Net model that enhances microscopy resolution by integrating structured illumination microscopy principles with deep learning.

Single particle trajectory statistic to reconstruct chromatin organization and dynamics

The paper discusses statistical methods to reconstruct chromatin organization and dynamics from single particle trajectories of loci under cellular stress.

Local decondensation at double-stranded DNA breaks modifies chromatin at long distances and reduces encounter times during homology search

The paper shows that local chromatin decondensation at DNA breaks reduces encounter times for homologous sequences during repair.