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An electron counting algorithm improves imaging of proteins with low-acceleration-voltage cryo-electron microscope
Relative to the 300-kV accelerating field, electrons accelerated under lower voltages are potentially scattered more strongly. Lowering the accelerate voltage has been suggested to enhance the signal-to-noise ratio (SNR) of cryo-electron microscopy (cryo-EM) images of small-molecular-weight proteins...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8987035/ https://www.ncbi.nlm.nih.gov/pubmed/35388174 http://dx.doi.org/10.1038/s42003-022-03284-1 |
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author | Zhu, Dongjie Shi, Huigang Wu, Chunling Zhang, Xinzheng |
author_facet | Zhu, Dongjie Shi, Huigang Wu, Chunling Zhang, Xinzheng |
author_sort | Zhu, Dongjie |
collection | PubMed |
description | Relative to the 300-kV accelerating field, electrons accelerated under lower voltages are potentially scattered more strongly. Lowering the accelerate voltage has been suggested to enhance the signal-to-noise ratio (SNR) of cryo-electron microscopy (cryo-EM) images of small-molecular-weight proteins (<100 kD). However, the detection efficient of current Direct Detection Devices (DDDs) and temporal coherence of cryo-EM decrease at lower voltage, leading to loss of SNR. Here, we present an electron counting algorithm to improve the detection of low-energy electrons. The counting algorithm increased the SNR of 120-kV and 200-kV cryo-EM image from a Falcon III camera by 8%, 20% at half the Nyquist frequency and 21%, 80% at Nyquist frequency, respectively, resulting in a considerable improvement in resolution of 3D reconstructions. Our results indicate that with further improved temporal coherence and a dedicated designed camera, a 120-kV cryo-electron microscope has potential to match the 300-kV microscope at imaging small proteins. |
format | Online Article Text |
id | pubmed-8987035 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-89870352022-04-22 An electron counting algorithm improves imaging of proteins with low-acceleration-voltage cryo-electron microscope Zhu, Dongjie Shi, Huigang Wu, Chunling Zhang, Xinzheng Commun Biol Article Relative to the 300-kV accelerating field, electrons accelerated under lower voltages are potentially scattered more strongly. Lowering the accelerate voltage has been suggested to enhance the signal-to-noise ratio (SNR) of cryo-electron microscopy (cryo-EM) images of small-molecular-weight proteins (<100 kD). However, the detection efficient of current Direct Detection Devices (DDDs) and temporal coherence of cryo-EM decrease at lower voltage, leading to loss of SNR. Here, we present an electron counting algorithm to improve the detection of low-energy electrons. The counting algorithm increased the SNR of 120-kV and 200-kV cryo-EM image from a Falcon III camera by 8%, 20% at half the Nyquist frequency and 21%, 80% at Nyquist frequency, respectively, resulting in a considerable improvement in resolution of 3D reconstructions. Our results indicate that with further improved temporal coherence and a dedicated designed camera, a 120-kV cryo-electron microscope has potential to match the 300-kV microscope at imaging small proteins. Nature Publishing Group UK 2022-04-06 /pmc/articles/PMC8987035/ /pubmed/35388174 http://dx.doi.org/10.1038/s42003-022-03284-1 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Zhu, Dongjie Shi, Huigang Wu, Chunling Zhang, Xinzheng An electron counting algorithm improves imaging of proteins with low-acceleration-voltage cryo-electron microscope |
title | An electron counting algorithm improves imaging of proteins with low-acceleration-voltage cryo-electron microscope |
title_full | An electron counting algorithm improves imaging of proteins with low-acceleration-voltage cryo-electron microscope |
title_fullStr | An electron counting algorithm improves imaging of proteins with low-acceleration-voltage cryo-electron microscope |
title_full_unstemmed | An electron counting algorithm improves imaging of proteins with low-acceleration-voltage cryo-electron microscope |
title_short | An electron counting algorithm improves imaging of proteins with low-acceleration-voltage cryo-electron microscope |
title_sort | electron counting algorithm improves imaging of proteins with low-acceleration-voltage cryo-electron microscope |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8987035/ https://www.ncbi.nlm.nih.gov/pubmed/35388174 http://dx.doi.org/10.1038/s42003-022-03284-1 |
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