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Building retinal connectomes
Authors:Marc Robert E  Jones Bryan W  Lauritzen J Scott  Watt Carl B  Anderson James R
Affiliation:University of Utah School of Medicine, Department of Ophthalmology/John A. Moran Eye Center, 65 Mario Capecchi Dr, University of Utah, Salt Lake City, UT 84132, United States.
Abstract:Understanding vertebrate vision depends on knowing, in part, the complete network graph of at least one representative retina. Acquiring such graphs is the business of synaptic connectomics, emerging as a practical technology due to improvements in electron imaging platform control, management software for large-scale datasets, and availability of data storage. The optimal strategy for building complete connectomes uses transmission electron imaging with 2nm or better resolution, molecular tags for cell identification, open-access data volumes for navigation, and annotation with open-source tools to build 3D cell libraries, complete network diagrams and connectivity databases. The first forays into retinal connectomics have shown that even nominally well-studied cells have much richer connection graphs than expected.
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