ReCoDe: 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...
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creator | Datta, Abhik Ng, Kian Fong Balakrishnan, Deepan Ding, Melissa Ban, Yvonne Chee, See Wee Shi, Jian Loh, N. Duane |
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). |
doi_str_mv | 10.48550/arxiv.1911.06013 |
format | Article |
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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).</description><identifier>DOI: 10.48550/arxiv.1911.06013</identifier><language>eng</language><subject>Physics - Computational Physics ; Physics - Data Analysis, Statistics and Probability ; Physics - Instrumentation and Detectors</subject><creationdate>2019-11</creationdate><rights>http://arxiv.org/licenses/nonexclusive-distrib/1.0</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>228,230,780,885</link.rule.ids><linktorsrc>$$Uhttps://arxiv.org/abs/1911.06013$$EView_record_in_Cornell_University$$FView_record_in_$$GCornell_University$$Hfree_for_read</linktorsrc><backlink>$$Uhttps://doi.org/10.48550/arXiv.1911.06013$$DView paper in arXiv$$Hfree_for_read</backlink></links><search><creatorcontrib>Datta, Abhik</creatorcontrib><creatorcontrib>Ng, Kian Fong</creatorcontrib><creatorcontrib>Balakrishnan, Deepan</creatorcontrib><creatorcontrib>Ding, Melissa</creatorcontrib><creatorcontrib>Ban, Yvonne</creatorcontrib><creatorcontrib>Chee, See Wee</creatorcontrib><creatorcontrib>Shi, Jian</creatorcontrib><creatorcontrib>Loh, N. Duane</creatorcontrib><title>ReCoDe: A Data Reduction and Compression Description for High Throughput Time-Resolved Electron Microscopy</title><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).</description><subject>Physics - Computational Physics</subject><subject>Physics - Data Analysis, Statistics and Probability</subject><subject>Physics - Instrumentation and Detectors</subject><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>GOX</sourceid><recordid>eNotj99OgzAYxXvjhZk-gFf2BcBCC7beLTCdyYwJ4Z58lK-jBlbSssW9vRvu6uT8yUl-hDwlLBYyy9gL-F97ihOVJDHLWcLvyU-FhSvxja5pCTPQCrujnq07UDh0tHDj5DGEqy8xaG-npTPO063d97TuvTvu--k409qOGFUY3HDCjm4G1LO_TL-s9i5oN50fyJ2BIeDjTVekft_UxTbafX98FutdBPkrj2QOTBkhQQvJNWRtx6SSTDBtcshbAGZaIZlRqVJSmEsIMk27FjiatE01X5Hn_9sFtpm8HcGfmyt0s0DzPznbU4A</recordid><startdate>20191114</startdate><enddate>20191114</enddate><creator>Datta, Abhik</creator><creator>Ng, Kian Fong</creator><creator>Balakrishnan, Deepan</creator><creator>Ding, Melissa</creator><creator>Ban, Yvonne</creator><creator>Chee, See Wee</creator><creator>Shi, Jian</creator><creator>Loh, N. Duane</creator><scope>GOX</scope></search><sort><creationdate>20191114</creationdate><title>ReCoDe: A Data Reduction and Compression Description for High Throughput Time-Resolved Electron Microscopy</title><author>Datta, Abhik ; Ng, Kian Fong ; Balakrishnan, Deepan ; Ding, Melissa ; Ban, Yvonne ; Chee, See Wee ; Shi, Jian ; Loh, N. Duane</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a673-86a09f48ac483ca5bd0898040cf6a6baa0fb480f929984ff6aa822dba3ef2b2c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Physics - Computational Physics</topic><topic>Physics - Data Analysis, Statistics and Probability</topic><topic>Physics - Instrumentation and Detectors</topic><toplevel>online_resources</toplevel><creatorcontrib>Datta, Abhik</creatorcontrib><creatorcontrib>Ng, Kian Fong</creatorcontrib><creatorcontrib>Balakrishnan, Deepan</creatorcontrib><creatorcontrib>Ding, Melissa</creatorcontrib><creatorcontrib>Ban, Yvonne</creatorcontrib><creatorcontrib>Chee, See Wee</creatorcontrib><creatorcontrib>Shi, Jian</creatorcontrib><creatorcontrib>Loh, N. Duane</creatorcontrib><collection>arXiv.org</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Datta, Abhik</au><au>Ng, Kian Fong</au><au>Balakrishnan, Deepan</au><au>Ding, Melissa</au><au>Ban, Yvonne</au><au>Chee, See Wee</au><au>Shi, Jian</au><au>Loh, N. Duane</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>ReCoDe: A Data Reduction and Compression Description for High Throughput Time-Resolved Electron Microscopy</atitle><date>2019-11-14</date><risdate>2019</risdate><abstract>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).</abstract><doi>10.48550/arxiv.1911.06013</doi><oa>free_for_read</oa></addata></record> |
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subjects | Physics - Computational Physics Physics - Data Analysis, Statistics and Probability Physics - Instrumentation and Detectors |
title | ReCoDe: A Data Reduction and Compression Description for High Throughput Time-Resolved Electron Microscopy |
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