Segmenting cells and tracking their motion over time is a common task in biomedical
applications. However, predicting accurate instance-wise segmentation and cell motions …

Automated microscopy techniques combined with high-throughput microfluidic cultivation
systems provide unique insights into living microorganisms, enabling hundreds of …

Microfluidic Live-Cell Imaging (MLCI) generates high-quality data that allows
biotechnologists to study cellular growth dynamics in detail. However, obtaining these …

In recent years, deep neural networks for cell segmentation have achieved impressive
advances over more traditional computer vision methods. However, generating large …

In recent years, deep neural networks for cell segmentation have achieved impressive
advances over more traditional computer vision methods. However, generating large …

The fundamental question of how cells maintain their characteristic size remains open. Cell
size measurements made through microscopic time-lapse imaging of microfluidic single cell …

The fundamental question of how cells maintain their characteristic size remains open. Cell
size measurements made through microscopic time-lapse imaging of microfluidic single-cell …