title: Cellular-resolution connectomics: challenges of dense neural circuit reconstruction.
abstract: Neuronal networks are high-dimensional graphs that are packed into three-dimensional nervous tissue at extremely high density. Comprehensively mapping these networks is therefore a major challenge. Although recent developments in volume electron microscopy imaging have made data acquisition feasible for circuits comprising a few hundreds to a few thousands of neurons, data analysis is massively lagging behind. The aim of this perspective is to summarize and quantify the challenges for data analysis in cellular-resolution connectomics and describe current solutions involving online crowd-sourcing and machine-learning approaches.
authors.affiliation: Structure of Neocortical Circuits Group, Max Planck Institute of Neurobiology, Munich-Martinsried, Germany. mhelmstaedter@neuro.mpg.de
authors.forename: Moritz
authors.initials: M
authors.lastname: Helmstaedter
mesh_terms: D000818:Animals; D063132:Connectome; D006801:Humans; D008854:Microscopy, Electron; D009474:Neurons / Q000502:physiology; D013223:Statistics as Topic