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Enhanced FIB-SEM systems for large-volume 3D imaging
Focused Ion Beam Scanning Electron Microscopy (FIB-SEM) can automatically generate 3D images with superior z-axis resolution, yielding data that needs minimal image registration and related post-processing. Obstacles blocking wider adoption of FIB-SEM include slow imaging speed and lack of long-term...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5476429/ https://www.ncbi.nlm.nih.gov/pubmed/28500755 http://dx.doi.org/10.7554/eLife.25916 |
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author | Xu, C Shan Hayworth, Kenneth J Lu, Zhiyuan Grob, Patricia Hassan, Ahmed M García-Cerdán, José G Niyogi, Krishna K Nogales, Eva Weinberg, Richard J Hess, Harald F |
author_facet | Xu, C Shan Hayworth, Kenneth J Lu, Zhiyuan Grob, Patricia Hassan, Ahmed M García-Cerdán, José G Niyogi, Krishna K Nogales, Eva Weinberg, Richard J Hess, Harald F |
author_sort | Xu, C Shan |
collection | PubMed |
description | Focused Ion Beam Scanning Electron Microscopy (FIB-SEM) can automatically generate 3D images with superior z-axis resolution, yielding data that needs minimal image registration and related post-processing. Obstacles blocking wider adoption of FIB-SEM include slow imaging speed and lack of long-term system stability, which caps the maximum possible acquisition volume. Here, we present techniques that accelerate image acquisition while greatly improving FIB-SEM reliability, allowing the system to operate for months and generating continuously imaged volumes > 10(6) µm(3). These volumes are large enough for connectomics, where the excellent z resolution can help in tracing of small neuronal processes and accelerate the tedious and time-consuming human proofreading effort. Even higher resolution can be achieved on smaller volumes. We present example data sets from mammalian neural tissue, Drosophila brain, and Chlamydomonas reinhardtii to illustrate the power of this novel high-resolution technique to address questions in both connectomics and cell biology. DOI: http://dx.doi.org/10.7554/eLife.25916.001 |
format | Online Article Text |
id | pubmed-5476429 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-54764292017-06-21 Enhanced FIB-SEM systems for large-volume 3D imaging Xu, C Shan Hayworth, Kenneth J Lu, Zhiyuan Grob, Patricia Hassan, Ahmed M García-Cerdán, José G Niyogi, Krishna K Nogales, Eva Weinberg, Richard J Hess, Harald F eLife Cell Biology Focused Ion Beam Scanning Electron Microscopy (FIB-SEM) can automatically generate 3D images with superior z-axis resolution, yielding data that needs minimal image registration and related post-processing. Obstacles blocking wider adoption of FIB-SEM include slow imaging speed and lack of long-term system stability, which caps the maximum possible acquisition volume. Here, we present techniques that accelerate image acquisition while greatly improving FIB-SEM reliability, allowing the system to operate for months and generating continuously imaged volumes > 10(6) µm(3). These volumes are large enough for connectomics, where the excellent z resolution can help in tracing of small neuronal processes and accelerate the tedious and time-consuming human proofreading effort. Even higher resolution can be achieved on smaller volumes. We present example data sets from mammalian neural tissue, Drosophila brain, and Chlamydomonas reinhardtii to illustrate the power of this novel high-resolution technique to address questions in both connectomics and cell biology. DOI: http://dx.doi.org/10.7554/eLife.25916.001 eLife Sciences Publications, Ltd 2017-05-13 /pmc/articles/PMC5476429/ /pubmed/28500755 http://dx.doi.org/10.7554/eLife.25916 Text en © 2017, Xu et al http://creativecommons.org/licenses/by/4.0/ This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Cell Biology Xu, C Shan Hayworth, Kenneth J Lu, Zhiyuan Grob, Patricia Hassan, Ahmed M García-Cerdán, José G Niyogi, Krishna K Nogales, Eva Weinberg, Richard J Hess, Harald F Enhanced FIB-SEM systems for large-volume 3D imaging |
title | Enhanced FIB-SEM systems for large-volume 3D imaging |
title_full | Enhanced FIB-SEM systems for large-volume 3D imaging |
title_fullStr | Enhanced FIB-SEM systems for large-volume 3D imaging |
title_full_unstemmed | Enhanced FIB-SEM systems for large-volume 3D imaging |
title_short | Enhanced FIB-SEM systems for large-volume 3D imaging |
title_sort | enhanced fib-sem systems for large-volume 3d imaging |
topic | Cell Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5476429/ https://www.ncbi.nlm.nih.gov/pubmed/28500755 http://dx.doi.org/10.7554/eLife.25916 |
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