Thomas Naert

The paper develops a deep learning pipeline for analyzing 3D collagen architecture in cleared fibrotic tissues using optimized clearing, imaging, and a U-Net model.

The paper introduces Pythia, a tool that uses deep learning to predict CRISPR/Cas9 integration and editing outcomes by leveraging non-random DNA repair patterns.

The paper introduces an improved open-source light-sheet microscope, mesoSPIM, with enhanced resolution, throughput, and compatibility with cleared samples.

The paper introduces a novel Schmidt objective for high-resolution imaging in cleared tissues, achieving high NA, long WD, and large FOV with only two optical elements.