Quantitating morphological changes in biological samples during scanning electron microscopy sample preparation with correlative super-resolution microscopy

Sample preparation is critical to biological electron microscopy (EM), and there have been continuous efforts on optimizing the procedures to best preserve structures of interest in the sample. However, a quantitative characterization of the morphological changes associated with each step in EM samp...

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Published inPloS one Vol. 12; no. 5; p. e0176839
Main Authors Zhang, Ying, Huang, Tao, Jorgens, Danielle M, Nickerson, Andrew, Lin, Li-Jung, Pelz, Joshua, Gray, Joe W, López, Claudia S, Nan, Xiaolin
Format Journal Article
LanguageEnglish
Published United States Public Library of Science 31.05.2017
Public Library of Science (PLoS)
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Summary:Sample preparation is critical to biological electron microscopy (EM), and there have been continuous efforts on optimizing the procedures to best preserve structures of interest in the sample. However, a quantitative characterization of the morphological changes associated with each step in EM sample preparation is currently lacking. Using correlative EM and superresolution microscopy (SRM), we have examined the effects of different drying methods as well as osmium tetroxide (OsO4) post-fixation on cell morphology during scanning electron microscopy (SEM) sample preparation. Here, SRM images of the sample acquired under hydrated conditions were used as a baseline for evaluating morphological changes as the sample went through SEM sample processing. We found that both chemical drying and critical point drying lead to a mild cellular boundary retraction of ~60 nm. Post-fixation by OsO4 causes at least 40 nm additional boundary retraction. We also found that coating coverslips with adhesion molecules such as fibronectin prior to cell plating helps reduce cell distortion from OsO4 post-fixation. These quantitative measurements offer useful information for identifying causes of cell distortions in SEM sample preparation and improving current procedures.
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Conceptualization: XN.Data curation: YZ.Formal analysis: YZ.Funding acquisition: XN JWG.Investigation: YZ TH DMJ AN LJL JP.Methodology: YZ TH DMJ CSL XN.Project administration: XN.Resources: CSL XN.Software: YZ XN.Supervision: JWG CSL XN.Validation: YZ DMJ CSL XN.Visualization: YZ XN.Writing – original draft: YZ.Writing – review & editing: CSL XN.
Competing Interests: The authors have declared that no competing interests exist.
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0176839