The comprehensive reconstruction of cell lineages in complex multicellular organisms is a
central goal of developmental biology. We present an open-source computational …

Due to the relative transparency of its embryos and larvae, the zebrafish is an ideal model
organism for bioimaging approaches in vertebrates. Novel microscope technologies allow …

Szeliski et al. published an influential study in 2006 on energy minimization methods for
Markov random fields. This study provided valuable insights in choosing the best …

Light-sheet microscopy is a powerful method for imaging the development and function of
complex biological systems at high spatiotemporal resolution and over long time scales …

Seven years ago, Szeliski et al. published an influential study on energy minimization
methods for Markov random fields (MRF). This study provided valuable insights in choosing …

We present a novel graph neural network (GNN) approach for cell tracking in high-
throughput microscopy videos. By modeling the entire time-lapse sequence as a direct …

Motivation: To gain fundamental insight into the development of embryos, biologists seek to
understand the fate of each and every embryonic cell. For the generation of cell tracks in …

We propose a novel approach to automatically tracking elliptical cell populations in time-
lapse image sequences. Given an initial segmentation, we account for partial occlusions …

The quality of any tracking-by-assignment hinges on the accuracy of the foregoing target
detection/segmentation step. In many kinds of images, errors in this first stage are …

Automatic cell segmentation and tracking enables to gain quantitative insights into the
processes driving cell migration. To investigate new data with minimal manual effort, cell …