Evidence map›Paper›PMID 40579628›Full record

ReviewNature methods2025

Super-resolution microscopy for structural biology.

John S H Danial

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature methods, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Thousandfold Expansion Microscopy.bioRxiv : the preprint server for biology · 2026
    Article
  5. Review
  6. Phenoxazines with a PhototransferableJournal of the American Chemical Society · 2026
    Article
  7. Review
  8. Wash-Free Multi-Target Super-Resolution Microscopy With Photocaged DNA Labels.Angewandte Chemie (International ed. in English) · 2026
    Article
  9. Article
  10. 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

1 author.

John S H DanialCentre of Biophotonics, University of St Andrews, St Andrews, UK. jshd1@st-andrews.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Super-resolution microscopy (SRM) has revolutionized biological imaging, enabling the visualization of biological structures at molecular resolution. However, the diversity of SRM techniques, each operating through different mechanisms, combined with the lack of a clear consensus on the definition of resolution, has hindered the biological community from fully recognizing SRM's contribution to structural biology. I propose a framework for defining, measuring and reporting resolution in SRM. Within this framework, I examine the capabilities of state-of-the-art methods that can achieve 'ångström-scale resolution' and clarify the level of structural detail users can expect to observe. Finally, drawing from recent advancements, I explore pathways to extend SRM towards live structural imaging.

Indexed as

MicroscopyAnimalsHumansMicroscopy, Fluorescence

Identifiers

What OpenQuestion holds

Textmetadata
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.