Markus Reischl

The paper introduces 3D spheroid-based skin models and a deep-learning pipeline to study keratinocyte differentiation and barrier function, identifying NHK-E6/E7 as the best alternative to primary keratinocytes.

The paper develops an accessible pipeline for generating virtual tissue simulations from real 3D image data using open-source software and the Cellular Potts Model.

This study compares spheroid formation and behavior across six ultra-low attachment plate types using four human cell lines, finding size and eccentricity differences that suggest plate type impacts experimental outcomes.

This paper demonstrates that predicting movement in freely moving C. elegans enables high-quality MRI reconstruction by compensating for motion artifacts.