An essential step toward understanding brain function is to establish a structural framework
with cellular resolution on which multi-scale datasets spanning molecules, cells, circuits and …

We have developed workflows to align 3D magnetic resonance histology (MRH) of the
mouse brain with light sheet microscopy (LSM) and 3D delineations of the same specimen …

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 …

A common feature in many neuroscience datasets is the presence of hierarchical data
structures, most commonly recording the activity of multiple neurons in multiple animals …

Upscaling X-ray nanoimaging to macroscopic specimens has the potential for providing
insights across multiple length scales, but its feasibility has long been an open question. By …

The world is in a frustrating situation, which is exacerbating due to the time-consuming
process of the COVID-19 vaccine design and production. This chapter provides a …

In this perspective article, we consider the critical issue of data and other research object
standardisation and, specifically, how international collaboration, and organizations such as …

Automated segmentation of cellular electron microscopy (EM) datasets remains a challenge.
Supervised deep learning (DL) methods that rely on region-of-interest (ROI) annotations …

Interest in disorders of consciousness (DoC) has grown substantially over the past decade
and has illuminated the importance of improving understanding of DoC biology; care needs …

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 …