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Real-time cryo–EM data pre-processing with Warp
The acquisition of cryo-electron microscopy (cryo-EM) data from biological specimen must be tightly coupled to data pre-processing to ensure best data quality and microscope usage. Here we provide Warp, a software for real-time evaluation and pre-processing of cryo-EM data during their acquisition....
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6858868/ https://www.ncbi.nlm.nih.gov/pubmed/31591575 http://dx.doi.org/10.1038/s41592-019-0580-y |
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author | Tegunov, Dimitry Cramer, Patrick |
author_facet | Tegunov, Dimitry Cramer, Patrick |
author_sort | Tegunov, Dimitry |
collection | PubMed |
description | The acquisition of cryo-electron microscopy (cryo-EM) data from biological specimen must be tightly coupled to data pre-processing to ensure best data quality and microscope usage. Here we provide Warp, a software for real-time evaluation and pre-processing of cryo-EM data during their acquisition. Warp corrects micrographs for global and local motion, estimates the local defocus with the use of novel algorithms, and monitors key parameters for each recorded micrograph or tomographic tilt series in real time. The software further includes deep learning-based models for accurate particle picking and image denoising. The output from Warp can be fed into established programs for particle classification and 3D map refinement. Our benchmarks show improvement in the nominal resolution from 3.9 Å to 3.2 Å through fully automated processing of a published cryo-EM data set for influenza virus hemagglutinin. Warp is easy to install, computationally inexpensive, and has an intuitive and streamlined user interface. |
format | Online Article Text |
id | pubmed-6858868 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
record_format | MEDLINE/PubMed |
spelling | pubmed-68588682020-04-07 Real-time cryo–EM data pre-processing with Warp Tegunov, Dimitry Cramer, Patrick Nat Methods Article The acquisition of cryo-electron microscopy (cryo-EM) data from biological specimen must be tightly coupled to data pre-processing to ensure best data quality and microscope usage. Here we provide Warp, a software for real-time evaluation and pre-processing of cryo-EM data during their acquisition. Warp corrects micrographs for global and local motion, estimates the local defocus with the use of novel algorithms, and monitors key parameters for each recorded micrograph or tomographic tilt series in real time. The software further includes deep learning-based models for accurate particle picking and image denoising. The output from Warp can be fed into established programs for particle classification and 3D map refinement. Our benchmarks show improvement in the nominal resolution from 3.9 Å to 3.2 Å through fully automated processing of a published cryo-EM data set for influenza virus hemagglutinin. Warp is easy to install, computationally inexpensive, and has an intuitive and streamlined user interface. 2019-10-07 2019-11 /pmc/articles/PMC6858868/ /pubmed/31591575 http://dx.doi.org/10.1038/s41592-019-0580-y Text en http://www.nature.com/authors/editorial_policies/license.html#terms Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use:http://www.nature.com/authors/editorial_policies/license.html#terms |
spellingShingle | Article Tegunov, Dimitry Cramer, Patrick Real-time cryo–EM data pre-processing with Warp |
title | Real-time cryo–EM data pre-processing with Warp |
title_full | Real-time cryo–EM data pre-processing with Warp |
title_fullStr | Real-time cryo–EM data pre-processing with Warp |
title_full_unstemmed | Real-time cryo–EM data pre-processing with Warp |
title_short | Real-time cryo–EM data pre-processing with Warp |
title_sort | real-time cryo–em data pre-processing with warp |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6858868/ https://www.ncbi.nlm.nih.gov/pubmed/31591575 http://dx.doi.org/10.1038/s41592-019-0580-y |
work_keys_str_mv | AT tegunovdimitry realtimecryoemdatapreprocessingwithwarp AT cramerpatrick realtimecryoemdatapreprocessingwithwarp |