Recent advances in computer vision and machine learning underpin a collection of
algorithms with an impressive ability to decipher the content of images. These deep learning …

Advanced microscopy enables us to acquire quantities of time-lapse images to visualize the
dynamic characteristics of tissues, cells or molecules. Microscopy images typically vary in …

Abstract The Cell Tracking Challenge is an ongoing benchmarking initiative that has
become a reference in cell segmentation and tracking algorithm development. Here, we …

Following DNA damage caused by exogenous sources, such as ionizing radiation, the
tumour suppressor p53 mediates cell cycle arrest via expression of the CDK inhibitor, p21 …

Isogenic E. coli cells growing in a constant environment display significant variability in
growth rates, division sizes, and generation times. The guiding principle appears to be that …

Skeletal muscles harbor quiescent muscle-specific stem cells (MuSCs) capable of tissue
regeneration throughout life. Muscle injury precipitates a complex inflammatory response in …

We present a combined report on the results of three editions of the Cell Tracking
Challenge, an ongoing initiative aimed at promoting the development and objective …

Multi-frame track-before-detect (MF-TBD) is a model-based batch processing method.
Assuming a particular model for the evolution of target states (eg a constant velocity model) …

How fast can a cell locate a specific chromosomal DNA sequence specified by a single
stranded oligonucleotide? To address this question we study the CRISPR-associated …

Single-cell methods are beginning to reveal the intrinsic heterogeneity in cell populations,
arising from the interplay of deterministic and stochastic processes. However, it remains …