Seipin is an oligomeric integral endoplasmic reticulum (ER) protein involved in lipid droplet (LD)
biogenesis. To study the role of seipin in LD formation, we relocalized it to the nuclear …

Single-cell segmentation is typically a crucial task of image-based cellular analysis. We
present nucleAIzer, a deep-learning approach aiming toward a truly general method for …

Quantifying heterogeneities within cell populations is important for many fields including
cancer research and neurobiology; however, techniques to isolate individual cells are limited. …

High-content, imaging-based screens now routinely generate data on a scale that precludes
manual verification and interrogation. Software applying machine learning has become an …

Recently, it has been described that programmed cell death protein 1 (PD-1) overexpressing
melanoma cells are highly aggressive. However, until now it has not been defined which …

Single cell segmentation is typically one of the first and most crucial tasks of image-based
cellular analysis. We present a deep learning approach aiming towards a truly general method …

In clinically operable pancreatic cancer, regions distant from malignant cells already display
proteomic changes related to lipid transport and metabolism that affect prognosis and may …

Biological processes are inherently continuous, and the chance of phenotypic discovery is
significantly restricted by discretising them. Using multi-parametric active regression we …

There is a pressing need to develop ways to deliver therapeutic macromolecules to their
intracellular targets. Certain viral and bacterial proteins are readily internalized in functional …

Supplemental Figure 1: Validation of DHCR7 antibody and overview of the TMA processing
pipeline A) DHCR7 antibody validation by epitope blocking. Top row: no blocking, bottom …