Highlights•Adoption of segmentation models driven by user-friendly tools and
documentation.•Advancements in novel architectures are driven by the need for a truly …

Mapping the human body at single cell resolution in three dimensions (3D) is important for
understanding cellular interactions in context of tissue and organ organization. 2D spatial …

The capsid (CA) lattice of the HIV-1 core plays a key role during infection. From the moment
the core is released into the cytoplasm, it interacts with a range of cellular factors that …

High-throughput imaging (HTI) generates complex imaging datasets from a large number of
experimental perturbations. Commercial HTI software programs for image analysis …

Background The growth and drug response of tumors are influenced by their stromal
composition, both in vivo and 3D-cell culture models. Cell-type inherent features as well as …

Fear responses are functionally adaptive behaviors that are strengthened as memories.
Indeed, detailed knowledge of the neural circuitry modulating fear memory could be the …

For investigations into fate specification and morphogenesis in time-lapse images of
preimplantation embryos, automated 3D instance segmentation and tracking of nuclei are …

For investigations into fate specification and cell rearrangements in live images of
preimplantation embryos, automated and accurate 3D instance segmentation of nuclei is …

Characterizing cell morphology has been an essential aspect of neuroscience for over a
century to provide essential insights into cellular function and dysfunction. Microglia, the …

The emergence of deep learning has breathed new life into image analysis, especially for
the segmentation, a challenging step required to quantify bidimensional (2D) and …