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A data reduction and compression description for high throughput time-resolved electron microscopy
Fast, direct electron detectors have significantly improved the spatio-temporal resolution of electron microscopy movies. Preserving both spatial and temporal resolution in extended observations, however, requires storing prohibitively large amounts of data. Here, we describe an efficient and flexib...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7844242/ https://www.ncbi.nlm.nih.gov/pubmed/33510168 http://dx.doi.org/10.1038/s41467-020-20694-z |
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author | Datta, Abhik Ng, Kian Fong Balakrishnan, Deepan Ding, Melissa Chee, See Wee Ban, Yvonne Shi, Jian Loh, N. Duane |
author_facet | Datta, Abhik Ng, Kian Fong Balakrishnan, Deepan Ding, Melissa Chee, See Wee Ban, Yvonne Shi, Jian Loh, N. Duane |
author_sort | Datta, Abhik |
collection | PubMed |
description | Fast, direct electron detectors have significantly improved the spatio-temporal resolution of electron microscopy movies. Preserving both spatial and temporal resolution in extended observations, however, requires storing prohibitively large amounts of data. Here, we describe an efficient and flexible data reduction and compression scheme (ReCoDe) that retains both spatial and temporal resolution by preserving individual electron events. Running ReCoDe on a workstation we demonstrate on-the-fly reduction and compression of raw data streaming off a detector at 3 GB/s, for hours of uninterrupted data collection. The output was 100-fold smaller than the raw data and saved directly onto network-attached storage drives over a 10 GbE connection. We discuss calibration techniques that support electron detection and counting (e.g., estimate electron backscattering rates, false positive rates, and data compressibility), and novel data analysis methods enabled by ReCoDe (e.g., recalibration of data post acquisition, and accurate estimation of coincidence loss). |
format | Online Article Text |
id | pubmed-7844242 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-78442422021-02-08 A data reduction and compression description for high throughput time-resolved electron microscopy Datta, Abhik Ng, Kian Fong Balakrishnan, Deepan Ding, Melissa Chee, See Wee Ban, Yvonne Shi, Jian Loh, N. Duane Nat Commun Article Fast, direct electron detectors have significantly improved the spatio-temporal resolution of electron microscopy movies. Preserving both spatial and temporal resolution in extended observations, however, requires storing prohibitively large amounts of data. Here, we describe an efficient and flexible data reduction and compression scheme (ReCoDe) that retains both spatial and temporal resolution by preserving individual electron events. Running ReCoDe on a workstation we demonstrate on-the-fly reduction and compression of raw data streaming off a detector at 3 GB/s, for hours of uninterrupted data collection. The output was 100-fold smaller than the raw data and saved directly onto network-attached storage drives over a 10 GbE connection. We discuss calibration techniques that support electron detection and counting (e.g., estimate electron backscattering rates, false positive rates, and data compressibility), and novel data analysis methods enabled by ReCoDe (e.g., recalibration of data post acquisition, and accurate estimation of coincidence loss). Nature Publishing Group UK 2021-01-28 /pmc/articles/PMC7844242/ /pubmed/33510168 http://dx.doi.org/10.1038/s41467-020-20694-z Text en © The Author(s) 2021 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Datta, Abhik Ng, Kian Fong Balakrishnan, Deepan Ding, Melissa Chee, See Wee Ban, Yvonne Shi, Jian Loh, N. Duane A data reduction and compression description for high throughput time-resolved electron microscopy |
title | A data reduction and compression description for high throughput time-resolved electron microscopy |
title_full | A data reduction and compression description for high throughput time-resolved electron microscopy |
title_fullStr | A data reduction and compression description for high throughput time-resolved electron microscopy |
title_full_unstemmed | A data reduction and compression description for high throughput time-resolved electron microscopy |
title_short | A data reduction and compression description for high throughput time-resolved electron microscopy |
title_sort | data reduction and compression description for high throughput time-resolved electron microscopy |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7844242/ https://www.ncbi.nlm.nih.gov/pubmed/33510168 http://dx.doi.org/10.1038/s41467-020-20694-z |
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