Sam F.B. van Beuningen

LiFT automates the quantification of DNA damage foci dynamics in live-cell imaging, enabling reproducible and scalable analysis of DSB kinetics in cancer research.

NuclearIDTracker uses nuclear phenotypic signatures to classify intestinal cell types and track lineage dynamics without fluorescent reporters.

UDIST separates shape and texture in microscopy images into independent latent subspaces, enabling unbiased phenotypic analysis across biological scales.

This study develops a personalized multi-assay platform using nasal epithelial cells to assess ciliary function and therapeutic response in primary ciliary dyskinesia.

This study develops a method to differentiate human nasal epithelial cells into airway-like tissues using small molecules, creating disease models for respiratory conditions.

The paper describes the immortalization of human nasal and bronchial airway epithelial cells using hTERT overexpression, enabling long-term genome editing studies.