Highlights•Breakthrough in automatic neuron reconstruction from VEM data will enable the
reconstruction of much larger data sets in the future.•Volume electron microscopy imaging …

Mitochondria, as tiny structures within the cell, are of significant importance to study cell
functions for biological and clinical analysis. And exploring how to automatically segment …

Highlights•Whole brain EM connectomics will revolutionise neuroscience.•Insects are at the
forefront of this revolution.•Mapping between light and EM image data can integrate …

The sequential activation of neurons has been observed in various areas of the brain, but in
no case is the underlying network structure well understood. Here we examined the circuit …

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 has recently begun to image brain tissue at nanometer resolution, which
produces petabytes of data. This data must be aligned, labeled, proofread, and formed into …

In this paper, we present a novel data structure, called the Mixture Graph. This data structure
allows us to compress, render, and query segmentation histograms. Such histograms arise …

In connectomics, scientists create the wiring diagram of a mammalian brain by identifying
synaptic connections between neurons in nano-scale electron microscopy images. This …

Serial section transmission electron microscopy (ssTEM) is the most promising tool for
investigating the three-dimensional anatomy of the brain with nanometer resolution. Yet as …

A connectivity graph of neurons at the resolution of single synapses provides scientists with
a tool for understanding the nervous system in health and disease. Recent advances in …