A key challenge in neuroscience is the expeditious reconstruction of neuronal circuits. For
model systems such as Drosophila and C. elegans, the limiting step is no longer the�…

Motivation: Advances in techniques to sparsely label neurons unlock the potential to
reconstruct connectivity from 3D image stacks acquired by light microscopy. We present an�…

Reconstructing neuronal circuits at the level of synapses is a central problem in
neuroscience, and the focus of the nascent field of connectomics. Previously used to�…

Large-scale connectomic reconstruction of neural circuitry at single-synapse resolution is an
attractive target for improving understanding of the nervous system in health and disease�…

Neural circuit reconstruction at single synapse resolution is increasingly recognized as
crucially important to decipher the function of biological nervous systems. Volume electron�…

Reconstruction and annotation of volume electron microscopy data sets of brain tissue is
challenging but can reveal invaluable information about neuronal circuits. Significant�…

Brain circuit mapping requires digital reconstruction of neuronal morphologies in
complicated networks. Despite recent advances in automatic algorithms, reconstruction of�…

Neuronal circuit mapping using electron microscopy demands laborious proofreading or
reconciliation of multiple independent reconstructions. Here, we describe new methods to�…

Neural circuits can be reconstructed from brain images acquired by serial section electron
microscopy. Image analysis has been performed by manual labor for half a century, and�…

Connections between neurons can be mapped by acquiring and analyzing electron
microscopic (EM) brain images. In recent years, this approach has been applied to chunks of�…