The study of brain connectivity has been a cornerstone in understanding the complexities of
neurological and psychiatric disorders. It has provided invaluable insights into the functional …

Morphometry is fundamental for studying and correlating neuronal morphology with brain
functions. With increasing computational power, it is possible to extract morphometric …

Abstract Advances in Electron Microscopy, image segmentation and computational
infrastructure have given rise to large-scale and richly annotated connectomic datasets …

Recent advances in high-resolution connectomics provide researchers with access to
accurate petascale reconstructions of neuronal circuits and brain networks for the first time …

One of the fundamental problems in neurobiological research is to understand how neural
circuits generate behaviors in response to sensory stimuli. Elucidating such neural circuits …

Three-dimensional electron microscopy images of brain tissue and their dense
segmentations are now petascale and growing. These volumes require the mass production …

Neuron tracing, alternately referred to as neuron reconstruction, is the procedure for
extracting the digital representation of the three-dimensional neuronal morphology from …

We introduce NeuroVerse, a framework designed to support the immersive exploration of 3D
nanometric-scale reconstructions of structural and ultrastructural neural or glial cellular …

In volume rendering, transfer functions are used to classify structures of interest, and to
assign optical properties such as color and opacity. They are commonly defined as 1D or 2D …

Connectomics deals with the problem of reconstructing neural circuitry from electron
microscopy images at the synaptic level. Automatically reconstructing circuits from these …