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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....

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Detalles Bibliográficos
Autores principales: Tegunov, Dimitry, Cramer, Patrick
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2019
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.
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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
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