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  Selecting optimal support grids for super-resolution cryogenic correlated light and electron microscopy

Last, M. G. F., Tuijtel, M., Voortman, L. M., & Sharp, T. H. (2023). Selecting optimal support grids for super-resolution cryogenic correlated light and electron microscopy. Scientific Reports, 13: 8270. doi:10.1038/s41598-023-35590-x.

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Last, Mart G. F.1, Author
Tuijtel, Maarten2, Author                 
Voortman, Lenard M.1, Author
Sharp, Thomas H.1, Author
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1Department of Cell and Chemical Biology, Leiden University Medical Centre, 2300 RC, Leiden, The Netherlands, ou_persistent22              
2Department of Molecular Sociology, Max Planck Institute of Biophysics, Max Planck Society, ou_3040395              

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Free keywords: Cryoelectron microscopy, Molecular imaging, Super-resolution microscopy
 Abstract: Cryogenic transmission electron microscopy (cryo-TEM) and super-resolution fluorescence microscopy are two popular and ever improving methods for high-resolution imaging of biological samples. In recent years, the combination of these two techniques into one correlated workflow has gained attention as a promising route towards contextualizing and enriching cryo-TEM imagery. A problem that is often encountered in the combination of these methods is that of light-induced damage to the sample during fluorescence imaging that renders the sample structure unsuitable for TEM imaging. In this paper, we describe how absorption of light by TEM sample support grids leads to sample damage, and we systematically explore the importance of parameters of grid design. We explain how, by changing the grid geometry and materials, one can increase the maximum illumination power density in fluorescence microscopy by up to an order of magnitude. Finally, we demonstrate the significant improvements in super-resolution image quality that are enabled by the selection of support grids that are optimally suited for correlated cryo-microscopy.

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Language(s): eng - English
 Dates: 2022-12-012023-05-202023-05-22
 Publication Status: Published online
 Pages: 11
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1038/s41598-023-35590-x
BibTex Citekey: last_selecting_2023
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Title: Scientific Reports
  Abbreviation : Sci. Rep.
Source Genre: Journal
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Publ. Info: London, UK : Nature Publishing Group
Pages: - Volume / Issue: 13 Sequence Number: 8270 Start / End Page: - Identifier: ISSN: 2045-2322
CoNE: https://pure.mpg.de/cone/journals/resource/2045-2322