Evidence map›Paper›PMID 36744614›Full record

ReviewMicroscopy (Oxford, England)2023

Spatiotemporal resolution in high-speed atomic force microscopy for studying biological macromolecules in action.

Kenichi Umeda, Steven J McArthur, Noriyuki Kodera

Abstract readReview
In one paragraph

Review in Microscopy (Oxford, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
–field-weighted citation impact
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

18 citing papers in PubMed.

  1. Article
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  5. Review
  6. Programming DNA machines to move.Nature reviews. Chemistry · 2026
    Review
  7. Review
  8. Article
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  10. Article
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  14. Review
  15. Article
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  17. Article
  18. Old innovations and shifted paradigms in cellular neuroscience.Frontiers in cellular neuroscience · 2024
    Review
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

3 authors.

Kenichi UmedaNano Life Science Institute (WPI-NanoLSI), Kanazawa University, Kakuma-machi, Kanazawa 920-1192, Japan.
Steven J McArthurNano Life Science Institute (WPI-NanoLSI), Kanazawa University, Kakuma-machi, Kanazawa 920-1192, Japan.
Noriyuki KoderaNano Life Science Institute (WPI-NanoLSI), Kanazawa University, Kakuma-machi, Kanazawa 920-1192, Japan.ORCID 0000-0003-4880-8423

Funding

Core Research for Evolutional Science and Technology JPMJCR1762Japan Society for the Promotion of Science 19K15409Japan Society for the Promotion of Science 20H00327Ministry of Education, Culture, Sports, Science and Technology WPIPrecursory Research for Embryonic Science and Technology JPMJPR20E3
6 · The paper itself

Abstract

High-speed atomic force microscopy (HS-AFM) is a unique approach that allows direct real-time visualization of biological macromolecules in action under near-physiological conditions, without any chemical labeling. Typically, the temporal resolution is sub-100 ms, and the spatial resolution is 2-3 nm in the lateral direction and ∼0.1 nm in the vertical direction. A wide range of biomolecular systems and their dynamic processes have been studied by HS-AFM, providing deep mechanistic insights into how biomolecules function. However, the level of mechanistic detail gleaned from an HS-AFM experiment critically depends on the spatiotemporal resolution of the system. In this review article, we explain the principle of HS-AFM and describe how the resolution is determined. We also discuss recent attempts to improve the resolution of HS-AFM to further extend the observable range of biological phenomena.

Indexed as

Microscopy, Atomic Forceatomic force microscopybiomoleculesbiophysicsnucleic acidsproteinssingle-molecule imaging

Identifiers

PMID36744614
PMCPMC10077026

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.