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
关键词
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资金
- National Institutes of Health [EY02576, EY015128, EY014800]
- National Science Foundation [0941717]
- Calvin and JeNeal Hatch Presidential Endowed Chair
- Research to Prevent Blindness
- Martha Ann Healy
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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