Evidence map›Paper›PMID 23799471›Full record

ReviewNature neuroscience2013

Seeing the forest tree by tree: super-resolution light microscopy meets the neurosciences.

Marta Maglione, Stephan J Sigrist

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature neuroscience, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 79 papers.

0numbers the graph read from it
0cells of the map it votes in
79citing 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

79 citing papers in PubMed.

  1. Review
  2. Imaging Synapse Ultrastructure and Organization with STED Microscopy.Methods in molecular biology (Clifton, N.J.) · 2025
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  18. Correction of topological errors in automated traces of neurites.Proceedings of SPIE--the International Society for Optical Engineering · 2021
    Article
  19. Review
  20. Article

19 more citing papers are in PubMed but not listed here.

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.

Marta MaglioneDepartment of Genetics, Institute for Biology, Free University Berlin, Berlin, Germany.
Stephan J Sigrist

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Light microscopy can be applied in vivo and can sample large tissue volumes, features crucial for the study of single neurons and neural circuits. However, light microscopy per se is diffraction-limited in resolution, and the substructure of core signaling compartments of neuronal circuits--axons, presynaptic active zones, postsynaptic densities and dendritic spines-can be only insufficiently characterized by standard light microscopy. Recently, several forms of super-resolution light microscopy breaking the diffraction-imposed resolution limit have started to allow highly resolved, dynamic imaging in the cell-biologically highly relevant 10-100 nanometer range ('mesoscale'). New, sometimes surprising answers concerning how protein mobility and protein architectures shape neuronal communication have already emerged. Here we start by briefly introducing super-resolution microscopy techniques, before we describe their use in the analysis of neuronal compartments. We conclude with long-term prospects for super-resolution light microscopy in the molecular and cellular neurosciences.

Indexed as

NeurosciencesAnimalsAxonsCytoskeletonHumansImaging, Three-DimensionalMicroscopyNeuronsSynapses

Identifiers

PMID23799471

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.