ArticleMicroscopy and microanalysis : the official journal of Microscopy Society of America, Microbeam Analysis Society, Microscopical Society of Canada2012
Optimized deconvolution for maximum axial resolution in three-dimensional aberration-corrected scanning transmission electron microscopy.
Article in Microscopy and microanalysis : the official journal of Microscopy Society of America, Microbeam Analysis Society, Microscopical Society of Canada, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed.
- Single-particle cryo-EM structures from iDPC-STEM at near-atomic resolution.Nature methods · 2022Article
- Perspective: Emerging strategies for determining atomic-resolution structures of macromolecular complexes within cells.Journal of structural biology · 2022Article
- Three-dimensional deconvolution processing for STEM cryotomography.Proceedings of the National Academy of Sciences of the United States of America · 2020Article
- Methods to label, image, and analyze the complex structural architectures of microvascular networks.Microcirculation (New York, N.Y. : 1994) · 2019Review
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Authors and funding
2 authors.
Funding
Abstract
Three-dimensional (3D) datasets were recorded of gold nanoparticles placed on both sides of silicon nitride membranes using focal series aberration-corrected scanning transmission electron microscopy (STEM). Deconvolution of the 3D datasets was applied to obtain the highest possible axial resolution. The deconvolution involved two different point spread functions, each calculated iteratively via blind deconvolution. Supporting membranes of different thicknesses were tested to study the effect of beam broadening on the deconvolution. It was found that several iterations of deconvolution was efficient in reducing the imaging noise. With an increasing number of iterations, the axial resolution was increased, and most of the structural information was preserved. Additional iterations improved the axial resolution by maximal a factor of 4 to 6, depending on the particular dataset, and up to 8 nm maximal, but also led to a reduction of the lateral size of the nanoparticles in the image. Thus, the deconvolution procedure optimized for the highest axial resolution is best suited for applications where one is interested in the 3D locations of nanoparticles only.
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Registered trials
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