Unknown

Dataset Information

0

Ultrastructurally smooth thick partitioning and volume stitching for large-scale connectomics.


ABSTRACT: Focused-ion-beam scanning electron microscopy (FIB-SEM) has become an essential tool for studying neural tissue at resolutions below 10 nm × 10 nm × 10 nm, producing data sets optimized for automatic connectome tracing. We present a technical advance, ultrathick sectioning, which reliably subdivides embedded tissue samples into chunks (20 ?m 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 three-dimensional data set suitable for connectome tracing.

SUBMITTER: Hayworth KJ 

PROVIDER: S-EPMC4382383 | biostudies-literature | 2015 Apr

REPOSITORIES: biostudies-literature

altmetric image

Publications

Ultrastructurally smooth thick partitioning and volume stitching for large-scale connectomics.

Hayworth Kenneth J KJ   Xu C Shan CS   Lu Zhiyuan Z   Knott Graham W GW   Fetter Richard D RD   Tapia Juan Carlos JC   Lichtman Jeff W JW   Hess Harald F HF  

Nature methods 20150216 4


Focused-ion-beam scanning electron microscopy (FIB-SEM) has become an essential tool for studying neural tissue at resolutions below 10 nm × 10 nm × 10 nm, producing data sets optimized 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, pro  ...[more]

Similar Datasets

| S-EPMC4532871 | biostudies-literature
| S-EPMC10942996 | biostudies-literature
| S-EPMC11512480 | biostudies-literature
| S-EPMC5215295 | biostudies-literature
| S-EPMC6558144 | biostudies-literature
| S-EPMC6042687 | biostudies-literature
| S-EPMC9050125 | biostudies-literature
| S-EPMC10953591 | biostudies-literature
| S-EPMC9427110 | biostudies-literature
| S-EPMC6772040 | biostudies-literature