Deep learning is transforming most areas of science and technology, including electron
microscopy. This review paper offers a practical perspective aimed at developers with …

Deep learning of artificial neural networks has become the de facto standard approach to
solving data analysis problems in virtually all fields of science and engineering. Also in …

Anthropogenic warming has led to an unprecedented year-round reduction in Arctic sea ice
extent. This has far-reaching consequences for indigenous and local communities, polar …

We present DeepMIB, a new software package that is capable of training convolutional
neural networks for segmentation of multidimensional microscopy datasets on any …

We present PyTorch Connectomics (PyTC), an open-source deep-learning framework for
the semantic and instance segmentation of volumetric microscopy images, built upon …

Detailed knowledge of biological structure has been key in understanding biology at several
levels of organisation, from organs to cells and proteins. Volume electron microscopy …

The field of connectomics aims to reconstruct the wiring diagram of Neurons and synapses
to enable new insights into the workings of the brain. Reconstructing and analyzing the …

The vertebrate respiratory system is challenging to study. The complex relationship between
the lungs and adjacent tissues, the vast structural diversity of the respiratory system both …

High-resolution connectomics data allows for the identification of dysfunctional mitochondria
which are linked to a variety of diseases such as autism or bipolar. However, manual …

Connectomics is fundamental in propelling our understanding of the nervous system's
organization, unearthing cells and wiring diagrams reconstructed from volume electron …