Onit Alalouf

This paper demonstrates a simple 3D single-molecule localization microscopy technique using 3D-printed phase masks and computational compensation.

The paper tracks DNA repair dynamics in yeast using high-throughput methods, revealing chromatin reconfiguration linked to single- and double-strand breaks.

The paper introduces a physics-informed generative model to create realistic training data for localization microscopy, improving performance in challenging conditions.

DeepOM uses deep learning to improve alignment of single-molecule optical genome mapping images to genomic references, showing better performance for shorter DNA molecules.