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. …

… Mechanical drift introduced by either the mechanical movement of the sample or thermal
effects was analyzed and reduced by means of a blind drift correction algorithm. Spatial …

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 …

Efficient cell migration requires cellular polarization, which is characterized by the formation
of leading and trailing edges, appropriate positioning of the nucleus and reorientation of the …

Heat shock proteins (Hsps) have chaperone activity and play a pivotal role in the homeostasis
of proteins by preventing misfolding, by clearing aggregated and damaged proteins from …

Skeletal muscle is constantly renewed in response to injury, exercise, or muscle diseases.
Muscle stem cells, also known as satellite cells, are stimulated by local damage to proliferate …

… It has already been shown that blind identification is feasible based on spatial … blind
identification procedures based on eigendecomposition. In this paper, we introduce a blind …

Simple Summary Germline and somatic BRCA1/2 mutations may define therapeutic targets
and refine cancer treatment options. However, routine BRCA diagnostic approaches cannot …

An important aim of research on the blind image quality assessment (IQA) problem is to
devise perceptual models that can predict the quality of distorted images with as little prior …