We present ilastik, an easy-to-use interactive tool that brings machine-learning-based (bio)
image analysis to end users without substantial computational expertise. It contains pre …

Neurons have diverse molecular, morphological, connectional and functional properties. We
believe that the only realistic way to manage this complexity—and thereby pave the way for …

Pathogenesis induced by SARS-CoV-2 is thought to result from both an inflammation-
dominated cytokine response and virus-induced cell perturbation causing cell death. Here …

Drosophila melanogaster has a rich repertoire of innate and learned behaviors. Its 100,000-
neuron brain is a large but tractable target for comprehensive neural circuit map**. Only …

Molecular profiling of single cells has advanced our knowledge of the molecular basis of
development. However, current approaches mostly rely on dissociating cells from tissues …

Fluorescence microscopy is a key driver of discoveries in the life sciences, with observable
phenomena being limited by the optics of the microscope, the chemistry of the fluorophores …

In many machine learning tasks it is desirable that a model's prediction transforms in an
equivariant way under transformations of its input. Convolutional neural networks (CNNs) …

Quantitative analysis of plant and animal morphogenesis requires accurate segmentation of
individual cells in volumetric images of growing organs. In the last years, deep learning has …

The ventrolateral subdivision of the ventromedial hypothalamus (VMHvl) contains∼ 4,000
neurons that project to multiple targets and control innate social behaviors including …

Reconstruction of neural circuits from volume electron microscopy data requires the tracing
of cells in their entirety, including all their neurites. Automated approaches have been …