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Imaging ATUM ultrathin section libraries with WaferMapper: a multi-scale approach to EM reconstruction of neural circuits
The automated tape-collecting ultramicrotome (ATUM) makes it possible to collect large numbers of ultrathin sections quickly—the equivalent of a petabyte of high resolution images each day. However, even high throughput image acquisition strategies generate images far more slowly (at present ~1 tera...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4073626/ https://www.ncbi.nlm.nih.gov/pubmed/25018701 http://dx.doi.org/10.3389/fncir.2014.00068 |
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author | Hayworth, Kenneth J. Morgan, Josh L. Schalek, Richard Berger, Daniel R. Hildebrand, David G. C. Lichtman, Jeff W. |
author_facet | Hayworth, Kenneth J. Morgan, Josh L. Schalek, Richard Berger, Daniel R. Hildebrand, David G. C. Lichtman, Jeff W. |
author_sort | Hayworth, Kenneth J. |
collection | PubMed |
description | The automated tape-collecting ultramicrotome (ATUM) makes it possible to collect large numbers of ultrathin sections quickly—the equivalent of a petabyte of high resolution images each day. However, even high throughput image acquisition strategies generate images far more slowly (at present ~1 terabyte per day). We therefore developed WaferMapper, a software package that takes a multi-resolution approach to mapping and imaging select regions within a library of ultrathin sections. This automated method selects and directs imaging of corresponding regions within each section of an ultrathin section library (UTSL) that may contain many thousands of sections. Using WaferMapper, it is possible to map thousands of tissue sections at low resolution and target multiple points of interest for high resolution imaging based on anatomical landmarks. The program can also be used to expand previously imaged regions, acquire data under different imaging conditions, or re-image after additional tissue treatments. |
format | Online Article Text |
id | pubmed-4073626 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-40736262014-07-11 Imaging ATUM ultrathin section libraries with WaferMapper: a multi-scale approach to EM reconstruction of neural circuits Hayworth, Kenneth J. Morgan, Josh L. Schalek, Richard Berger, Daniel R. Hildebrand, David G. C. Lichtman, Jeff W. Front Neural Circuits Neuroscience The automated tape-collecting ultramicrotome (ATUM) makes it possible to collect large numbers of ultrathin sections quickly—the equivalent of a petabyte of high resolution images each day. However, even high throughput image acquisition strategies generate images far more slowly (at present ~1 terabyte per day). We therefore developed WaferMapper, a software package that takes a multi-resolution approach to mapping and imaging select regions within a library of ultrathin sections. This automated method selects and directs imaging of corresponding regions within each section of an ultrathin section library (UTSL) that may contain many thousands of sections. Using WaferMapper, it is possible to map thousands of tissue sections at low resolution and target multiple points of interest for high resolution imaging based on anatomical landmarks. The program can also be used to expand previously imaged regions, acquire data under different imaging conditions, or re-image after additional tissue treatments. Frontiers Media S.A. 2014-06-27 /pmc/articles/PMC4073626/ /pubmed/25018701 http://dx.doi.org/10.3389/fncir.2014.00068 Text en Copyright © 2014 Hayworth, Morgan, Schalek, Berger, Hildebrand and Lichtman. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neuroscience Hayworth, Kenneth J. Morgan, Josh L. Schalek, Richard Berger, Daniel R. Hildebrand, David G. C. Lichtman, Jeff W. Imaging ATUM ultrathin section libraries with WaferMapper: a multi-scale approach to EM reconstruction of neural circuits |
title | Imaging ATUM ultrathin section libraries with WaferMapper: a multi-scale approach to EM reconstruction of neural circuits |
title_full | Imaging ATUM ultrathin section libraries with WaferMapper: a multi-scale approach to EM reconstruction of neural circuits |
title_fullStr | Imaging ATUM ultrathin section libraries with WaferMapper: a multi-scale approach to EM reconstruction of neural circuits |
title_full_unstemmed | Imaging ATUM ultrathin section libraries with WaferMapper: a multi-scale approach to EM reconstruction of neural circuits |
title_short | Imaging ATUM ultrathin section libraries with WaferMapper: a multi-scale approach to EM reconstruction of neural circuits |
title_sort | imaging atum ultrathin section libraries with wafermapper: a multi-scale approach to em reconstruction of neural circuits |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4073626/ https://www.ncbi.nlm.nih.gov/pubmed/25018701 http://dx.doi.org/10.3389/fncir.2014.00068 |
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