Benchmarking tomographic acquisition schemes for high-resolution structural biology
Here the authors systematically benchmark cryo-electron tomography acquisition schemes to optimize the attainable resolution for subtomogram averaging, and find that dose-symmetric acquisition with even angular sampling provides a better outcome than most currently used acquisition schemes.
Guardado en:
Autores principales: | , , , , , , , |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2020
|
Materias: | |
Acceso en línea: | https://doaj.org/article/dc1b4bdb76a14aba9eff82a68c42333e |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
id |
oai:doaj.org-article:dc1b4bdb76a14aba9eff82a68c42333e |
---|---|
record_format |
dspace |
spelling |
oai:doaj.org-article:dc1b4bdb76a14aba9eff82a68c42333e2021-12-02T16:56:34ZBenchmarking tomographic acquisition schemes for high-resolution structural biology10.1038/s41467-020-14535-22041-1723https://doaj.org/article/dc1b4bdb76a14aba9eff82a68c42333e2020-02-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-14535-2https://doaj.org/toc/2041-1723Here the authors systematically benchmark cryo-electron tomography acquisition schemes to optimize the attainable resolution for subtomogram averaging, and find that dose-symmetric acquisition with even angular sampling provides a better outcome than most currently used acquisition schemes.Beata TuroňováWim J. H. HagenMartin ObrShyamal MosalagantiJ. Wouter BeugelinkChristian E. ZimmerliHans-Georg KräusslichMartin BeckNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-9 (2020) |
institution |
DOAJ |
collection |
DOAJ |
language |
EN |
topic |
Science Q |
spellingShingle |
Science Q Beata Turoňová Wim J. H. Hagen Martin Obr Shyamal Mosalaganti J. Wouter Beugelink Christian E. Zimmerli Hans-Georg Kräusslich Martin Beck Benchmarking tomographic acquisition schemes for high-resolution structural biology |
description |
Here the authors systematically benchmark cryo-electron tomography acquisition schemes to optimize the attainable resolution for subtomogram averaging, and find that dose-symmetric acquisition with even angular sampling provides a better outcome than most currently used acquisition schemes. |
format |
article |
author |
Beata Turoňová Wim J. H. Hagen Martin Obr Shyamal Mosalaganti J. Wouter Beugelink Christian E. Zimmerli Hans-Georg Kräusslich Martin Beck |
author_facet |
Beata Turoňová Wim J. H. Hagen Martin Obr Shyamal Mosalaganti J. Wouter Beugelink Christian E. Zimmerli Hans-Georg Kräusslich Martin Beck |
author_sort |
Beata Turoňová |
title |
Benchmarking tomographic acquisition schemes for high-resolution structural biology |
title_short |
Benchmarking tomographic acquisition schemes for high-resolution structural biology |
title_full |
Benchmarking tomographic acquisition schemes for high-resolution structural biology |
title_fullStr |
Benchmarking tomographic acquisition schemes for high-resolution structural biology |
title_full_unstemmed |
Benchmarking tomographic acquisition schemes for high-resolution structural biology |
title_sort |
benchmarking tomographic acquisition schemes for high-resolution structural biology |
publisher |
Nature Portfolio |
publishDate |
2020 |
url |
https://doaj.org/article/dc1b4bdb76a14aba9eff82a68c42333e |
work_keys_str_mv |
AT beataturonova benchmarkingtomographicacquisitionschemesforhighresolutionstructuralbiology AT wimjhhagen benchmarkingtomographicacquisitionschemesforhighresolutionstructuralbiology AT martinobr benchmarkingtomographicacquisitionschemesforhighresolutionstructuralbiology AT shyamalmosalaganti benchmarkingtomographicacquisitionschemesforhighresolutionstructuralbiology AT jwouterbeugelink benchmarkingtomographicacquisitionschemesforhighresolutionstructuralbiology AT christianezimmerli benchmarkingtomographicacquisitionschemesforhighresolutionstructuralbiology AT hansgeorgkrausslich benchmarkingtomographicacquisitionschemesforhighresolutionstructuralbiology AT martinbeck benchmarkingtomographicacquisitionschemesforhighresolutionstructuralbiology |
_version_ |
1718382830781726720 |