Cell tracking is a ubiquitous image analysis task in live-cell microscopy. Unlike multiple
object tracking (MOT) for natural images, cell tracking typically involves hundreds of similar …

Live-cell microscopy allows to go beyond measuring average features of cellular
populations to observe, quantify and explain biological heterogeneity. Deep Learning-based …

In the biomedical environment, experiments assessing dynamic processes are primarily
performed by a human acquisition supervisor. Contemporary implementations of such …

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

Modern live-cell imaging and machine-learning based image processing methods shed light
on the secrets of the behavior and characteristics of individual cells including their growth …

Abstract The field of Artificial Intelligence (AI) has experienced unprecedented growth in
recent years, thanks to the numerous applications related to speech recognition, natural …