ReviewUltramicroscopy2012
Development and application of STEM for the biological sciences.
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.
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.
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.
Who cites it
26 citing papers in PubMed, 82 citations in OpenAlex.
- Digging Deep into Alzheimer Disease: How Electron Microscopy Helps Elucidating Its Pathogenesis.Cellular and molecular neurobiology · 2026Review
- Nanoscale Imaging of Biological Tissues: Techniques, Challenges and Emerging Frontiers.Nanomaterials (Basel, Switzerland) · 2025Review
- Cryogenic electron tomography and elemental analysis of mitochondrial granules in human retinal ganglion cells.Structure (London, England : 1993) · 2025Article
- Experimental methods for studying amyloid cross-interactions.Protein science : a publication of the Protein Society · 2025Review
- Characterization and morphological methods for oral biofilm visualization: where are we nowadays?AIMS microbiology · 2024Review
- Urany-Less Low Voltage Transmission Electron Microscopy: A Powerful Tool for Ultrastructural Studying of Cyanobacterial Cells.Microorganisms · 2023Article
- Super-Resolution Reconstruction of Cytoskeleton Image Based on A-Net Deep Learning Network.Micromachines · 2022Article
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- 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 · 2021Article
- Article
- Tissue Specific Fate of Nanomaterials by Advanced Analytical Imaging Techniques - A Review.Chemical research in toxicology · 2020Review
- Novel Bacterial Diversity and Fragmented eDNA Identified in Hyperbiofilm-Forming Pseudomonas aeruginosa Rugose Small Colony Variant.iScience · 2020Article
- Article
- Revealing the assembly of filamentous proteins with scanning transmission electron microscopy.PloS one · 2019Article
- 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 · 2017Article
- Multi-color electron microscopy by element-guided identification of cells, organelles and molecules.Scientific reports · 2017Article
- Preparation and Observation of Thick Biological Samples by Scanning Transmission Electron Tomography.Journal of visualized experiments : JoVE · 2017Article
- Analytical Methods for Imaging Metals in Biology: From Transition Metal Metabolism to Transition Metal Signaling.Analytical chemistry · 2017Review
- Biological application of Compressed Sensing Tomography in the Scanning Electron Microscope.Scientific reports · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
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
Identifiers
What OpenQuestion holds
Registered trials
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.