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Benchmarking cryo-EM Single Particle Analysis Workflow
Cryo electron microscopy facilities running multiple instruments and serving users with varying skill levels need a robust and reliable method for benchmarking both the hardware and software components of their single particle analysis workflow. The workflow is complex, with many bottlenecks existin...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6009202/ https://www.ncbi.nlm.nih.gov/pubmed/29951483 http://dx.doi.org/10.3389/fmolb.2018.00050 |
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author | Kim, Laura Y. Rice, William J. Eng, Edward T. Kopylov, Mykhailo Cheng, Anchi Raczkowski, Ashleigh M. Jordan, Kelsey D. Bobe, Daija Potter, Clinton S. Carragher, Bridget |
author_facet | Kim, Laura Y. Rice, William J. Eng, Edward T. Kopylov, Mykhailo Cheng, Anchi Raczkowski, Ashleigh M. Jordan, Kelsey D. Bobe, Daija Potter, Clinton S. Carragher, Bridget |
author_sort | Kim, Laura Y. |
collection | PubMed |
description | Cryo electron microscopy facilities running multiple instruments and serving users with varying skill levels need a robust and reliable method for benchmarking both the hardware and software components of their single particle analysis workflow. The workflow is complex, with many bottlenecks existing at the specimen preparation, data collection and image analysis steps; the samples and grid preparation can be of unpredictable quality, there are many different protocols for microscope and camera settings, and there is a myriad of software programs for analysis that can depend on dozens of settings chosen by the user. For this reason, we believe it is important to benchmark the entire workflow, using a standard sample and standard operating procedures, on a regular basis. This provides confidence that all aspects of the pipeline are capable of producing maps to high resolution. Here we describe benchmarking procedures using a test sample, rabbit muscle aldolase. |
format | Online Article Text |
id | pubmed-6009202 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-60092022018-06-27 Benchmarking cryo-EM Single Particle Analysis Workflow Kim, Laura Y. Rice, William J. Eng, Edward T. Kopylov, Mykhailo Cheng, Anchi Raczkowski, Ashleigh M. Jordan, Kelsey D. Bobe, Daija Potter, Clinton S. Carragher, Bridget Front Mol Biosci Molecular Biosciences Cryo electron microscopy facilities running multiple instruments and serving users with varying skill levels need a robust and reliable method for benchmarking both the hardware and software components of their single particle analysis workflow. The workflow is complex, with many bottlenecks existing at the specimen preparation, data collection and image analysis steps; the samples and grid preparation can be of unpredictable quality, there are many different protocols for microscope and camera settings, and there is a myriad of software programs for analysis that can depend on dozens of settings chosen by the user. For this reason, we believe it is important to benchmark the entire workflow, using a standard sample and standard operating procedures, on a regular basis. This provides confidence that all aspects of the pipeline are capable of producing maps to high resolution. Here we describe benchmarking procedures using a test sample, rabbit muscle aldolase. Frontiers Media S.A. 2018-06-04 /pmc/articles/PMC6009202/ /pubmed/29951483 http://dx.doi.org/10.3389/fmolb.2018.00050 Text en Copyright © 2018 Kim, Rice, Eng, Kopylov, Cheng, Raczkowski, Jordan, Bobe, Potter and Carragher. http://creativecommons.org/licenses/by/4.0/ 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) and the copyright owner 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 | Molecular Biosciences Kim, Laura Y. Rice, William J. Eng, Edward T. Kopylov, Mykhailo Cheng, Anchi Raczkowski, Ashleigh M. Jordan, Kelsey D. Bobe, Daija Potter, Clinton S. Carragher, Bridget Benchmarking cryo-EM Single Particle Analysis Workflow |
title | Benchmarking cryo-EM Single Particle Analysis Workflow |
title_full | Benchmarking cryo-EM Single Particle Analysis Workflow |
title_fullStr | Benchmarking cryo-EM Single Particle Analysis Workflow |
title_full_unstemmed | Benchmarking cryo-EM Single Particle Analysis Workflow |
title_short | Benchmarking cryo-EM Single Particle Analysis Workflow |
title_sort | benchmarking cryo-em single particle analysis workflow |
topic | Molecular Biosciences |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6009202/ https://www.ncbi.nlm.nih.gov/pubmed/29951483 http://dx.doi.org/10.3389/fmolb.2018.00050 |
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