Several imaging techniques are used in biological and biomedical studies. Micro-computed
tomography (micro-CT) is a non-destructive imaging technique that allows the rapid …

Background:“Artificial intelligence” and “big data” increasingly take the step from just being
interesting concepts to being relevant or even part of our lives. This general statement holds …

Diffusion models are a special type of generative model, capable of synthesising new data
from a learnt distribution. We introduce DISPR, a diffusion-based model for solving the …

In many medical disciplines, red blood cells are discovered to be biomarkers since they
“experience” various conditions in basically all organs of the body. Classical examples are …

Red blood cells (RBCs) are the most abundant cell type in the human body and critical
suppliers of oxygen. The cells are characterized by a simple structure with no internal …

Lift forces are widespread in hydrodynamics. These are typically observed for big and fast
objects and are often associated with a combination of fluid inertia (ie large Reynolds …

The computer vision task of reconstructing 3D images, ie, shapes, from their single 2D
image slices is extremely challenging, more so in the regime of limited data. Deep learning …

Background: Chorea-acanthocytosis (ChAc) is a rare hereditary neurodegenerative disease
with deformed red blood cells (RBCs), so-called acanthocytes, as a typical marker of the …

Examination of red blood cell (RBC) morphology in peripheral blood smears can help
diagnose hematologic diseases, even in resource-limited settings, but this analysis remains …

Background Schistocyte counts are a cornerstone of the diagnosis of thrombotic
microangiopathy syndrome (TMA). Their manual quantification is complex and alternative …