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Building retinal connectomes

期刊

CURRENT OPINION IN NEUROBIOLOGY
卷 22, 期 4, 页码 568-574

出版社

CURRENT BIOLOGY LTD
DOI: 10.1016/j.conb.2012.03.011

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资金

  1. National Institutes of Health [EY02576, EY015128, EY014800]
  2. National Science Foundation [0941717]
  3. Calvin and JeNeal Hatch Presidential Endowed Chair
  4. Research to Prevent Blindness
  5. Martha Ann Healy

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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 2 nm 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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