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Negative Staining and Image Classification – Powerful Tools in Modern Electron Microscopy

Vitrification is the state-of-the-art specimen preparation technique for molecular electron microscopy (EM) and therefore negative staining may appear to be an outdated approach. In this paper we illustrate the specific advantages of negative staining, ensuring that this technique will remain an imp...

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Detalles Bibliográficos
Autores principales: Ohi, Melanie, Li, Ying, Cheng, Yifan, Walz, Thomas
Formato: Texto
Lenguaje:English
Publicado: Biological Procedures Online 2004
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC389902/
https://www.ncbi.nlm.nih.gov/pubmed/15103397
http://dx.doi.org/10.1251/bpo70
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author Ohi, Melanie
Li, Ying
Cheng, Yifan
Walz, Thomas
author_facet Ohi, Melanie
Li, Ying
Cheng, Yifan
Walz, Thomas
author_sort Ohi, Melanie
collection PubMed
description Vitrification is the state-of-the-art specimen preparation technique for molecular electron microscopy (EM) and therefore negative staining may appear to be an outdated approach. In this paper we illustrate the specific advantages of negative staining, ensuring that this technique will remain an important tool for the study of biological macromolecules. Due to the higher image contrast, much smaller molecules can be visualized by negative staining. Also, while molecules prepared by vitrification usually adopt random orientations in the amorphous ice layer, negative staining tends to induce preferred orientations of the molecules on the carbon support film. Combining negative staining with image classification techniques makes it possible to work with very heterogeneous molecule populations, which are difficult or even impossible to analyze using vitrified specimens.
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spelling pubmed-3899022004-04-20 Negative Staining and Image Classification – Powerful Tools in Modern Electron Microscopy Ohi, Melanie Li, Ying Cheng, Yifan Walz, Thomas Biol Proced Online Research Article Vitrification is the state-of-the-art specimen preparation technique for molecular electron microscopy (EM) and therefore negative staining may appear to be an outdated approach. In this paper we illustrate the specific advantages of negative staining, ensuring that this technique will remain an important tool for the study of biological macromolecules. Due to the higher image contrast, much smaller molecules can be visualized by negative staining. Also, while molecules prepared by vitrification usually adopt random orientations in the amorphous ice layer, negative staining tends to induce preferred orientations of the molecules on the carbon support film. Combining negative staining with image classification techniques makes it possible to work with very heterogeneous molecule populations, which are difficult or even impossible to analyze using vitrified specimens. Biological Procedures Online 2004-03-19 /pmc/articles/PMC389902/ /pubmed/15103397 http://dx.doi.org/10.1251/bpo70 Text en Copyright © March 03, 2004, M Ohi et al. Published in Biological Procedures Online under license from the authors. Copying, printing, redistribution and storage permitted.
spellingShingle Research Article
Ohi, Melanie
Li, Ying
Cheng, Yifan
Walz, Thomas
Negative Staining and Image Classification – Powerful Tools in Modern Electron Microscopy
title Negative Staining and Image Classification – Powerful Tools in Modern Electron Microscopy
title_full Negative Staining and Image Classification – Powerful Tools in Modern Electron Microscopy
title_fullStr Negative Staining and Image Classification – Powerful Tools in Modern Electron Microscopy
title_full_unstemmed Negative Staining and Image Classification – Powerful Tools in Modern Electron Microscopy
title_short Negative Staining and Image Classification – Powerful Tools in Modern Electron Microscopy
title_sort negative staining and image classification – powerful tools in modern electron microscopy
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC389902/
https://www.ncbi.nlm.nih.gov/pubmed/15103397
http://dx.doi.org/10.1251/bpo70
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