Evidence map›Paper›PMID 22749213›Full record

ReviewUltramicroscopy2012

Development and application of STEM for the biological sciences.

Alioscka A Sousa, Richard D Leapman

Abstract readReview
In one paragraph

Review in Ultramicroscopy, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
5.7field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

26 citing papers in PubMed, 82 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Experimental methods for studying amyloid cross-interactions.Protein science : a publication of the Protein Society · 2025
    Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Phosphate Elimination and Recovery Lightweight (PEARL) membrane: A sustainable environmental remediation approach.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  11. Article
  12. Review
  13. Article
  14. Journal of structural biology: X · 2020
    Article
  15. Article
  16. Measuring the Autocorrelation Function of Nanoscale Three-Dimensional Density Distribution in Individual Cells Using Scanning Transmission Electron Microscopy, Atomic Force Microscopy, and a New Deconvolution Algorithm.Microscopy and microanalysis : the official journal of Microscopy Society of America, Microbeam Analysis Society, Microscopical Society of Canada · 2017
    Article
  17. Article
  18. Article
  19. Review
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Alioscka A SousaNational Institute of Biomedical Imaging and Bioengineering, National Institutes of Health, Bethesda, MD 20892, USA.
Richard D Leapman
National Institutes of Health · US

Funding

Scanning Transmission Electron Tomography of Biological StructuresZIAEB000046 · NIBIB · NATIONAL INSTITUTE OF BIOMEDICAL IMAGING AND BIOENGINEERING · PI LEAPMAN, RICHARD · 2009 to 2025
$13.0M
Mass Mapping of Macromolecular AssembliesZIAEB000006 · NIBIB · NATIONAL INSTITUTE OF BIOMEDICAL IMAGING AND BIOENGINEERING · PI LEAPMAN, RICHARD · 2009 to 2014
$312k
Intramural NIH HHS ZIA EB000006Intramural NIH HHS ZIA EB000046
6 · The paper itself

Abstract

The design of the scanning transmission electron microscope (STEM), as conceived originally by Crewe and coworkers, enables the highly efficient and flexible collection of different elastic and inelastic signals resulting from the interaction of a focused probe of incident electrons with a specimen. In the present paper we provide a brief review for how the STEM today can be applied towards a range of different problems in the biological sciences, emphasizing four main areas of application. (1) For three decades, the most widely used STEM technique has been the mass determination of proteins and other macromolecular assemblies. Such measurements can be performed at low electron dose by collecting the high-angle dark-field signal using an annular detector. STEM mass mapping has proven valuable for characterizing large protein assemblies such as filamentous proteins with a well-defined mass per length. (2) The annular dark-field signal can also be used to image ultrasmall, functionalized nanoparticles of heavy atoms for labeling specific amino-acid sequences in protein assemblies. (3) By acquiring electron energy loss spectra (EELS) at each pixel in a hyperspectral image, it is possible to map the distributions of specific bound elements like phosphorus, calcium and iron in isolated macromolecular assemblies or in compartments within sectioned cells. Near single atom sensitivity is feasible provided that the specimen can tolerate a very high incident electron dose. (4) Electron tomography is a new application of STEM that enables three-dimensional reconstruction of micrometer-thick sections of cells. In this technique a probe of small convergence angle gives a large depth of field throughout the thickness of the specimen while maintaining a probe diameter of <2 nm; and the use of an on-axis bright-field detector reduces the effects of beam broadening and thus improves the spatial resolution compared to that attainable by STEM dark-field tomography.

Indexed as

Biological Science DisciplinesElectron Microscope TomographyElectronsHumansMacromolecular SubstancesMicroscopy, Electron, Scanning TransmissionNanoparticlesProteinsMacromolecular SubstancesProteins

Identifiers

PMID22749213
PMCPMC3500455
OpenAlexW2038327972

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.