Publication: Ultrastructurally-smooth thick partitioning and volume stitching for larger-scale connectomics
Open/View Files
Date
2015
Published Version
Journal Title
Journal ISSN
Volume Title
Publisher
The Harvard community has made this article openly available. Please share how this access benefits you.
Citation
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.
Research Data
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.
Description
Other Available Sources
Keywords
Terms of Use
This article is made available under the terms and conditions applicable to Other Posted Material (LAA), as set forth at Terms of Service