Ultrastructurally-smooth thick partitioning and volume stitching for larger-scale connectomics
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Hayworth, Kenneth J.
Xu, C. Shan
Lu, Zhiyuan
Knott, Graham W.
Fetter, Richard D.
Tapia, Juan Carlos
Hess, Harald F.
Published Version
https://doi.org/10.1038/nmeth.3292Metadata
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Hayworth, Kenneth J., C. Shan Xu, Zhiyuan Lu, Graham W. Knott, Richard D. Fetter, Juan Carlos Tapia, Jeff W. Lichtman, and Harald F. Hess. 2015. “Ultrastructurally-smooth thick partitioning and volume stitching for larger-scale connectomics.” Nature methods 12 (4): 319-322. doi:10.1038/nmeth.3292. http://dx.doi.org/10.1038/nmeth.3292.Abstract
FIB-SEM has become an essential tool for studying neural tissue at resolutions below 10×10×10 nm, producing datasets superior for automatic connectome tracing. We present a technical advance, ultrathick sectioning, which reliably subdivides embedded tissue samples into chunks (20 µm thick) optimally sized and mounted for efficient, parallel FIB-SEM imaging. These chunks are imaged separately and then ‘volume stitched’ back together, producing a final 3D dataset suitable for connectome tracing.Other Sources
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4382383/pdf/Terms of Use
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http://nrs.harvard.edu/urn-3:HUL.InstRepos:23473835
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