Evidence map›Paper›PMID 33955625›Full record

ReviewMicroscopy research and technique2021

Correlative nanoscopy: A multimodal approach to molecular resolution.

Samira Jadavi, Paolo Bianchini, Ornella Cavalleri, Silvia Dante, Claudio Canale, Alberto Diaspro

Abstract readReview
In one paragraph

Review in Microscopy research and technique, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Roadmap on Label-Free Super-Resolution Imaging.Laser & photonics reviews · 2023
    Article
  3. 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

6 authors.

Samira JadaviDIFILAB, Department of Physics, University of Genova, Genova, Italy.
Paolo BianchiniNanoscopy, CHT Erzelli, Istituto Italiano di Tecnologia, Genova, Italy.
Ornella CavalleriDIFILAB, Department of Physics, University of Genova, Genova, Italy.
Silvia DanteMaterials Characterization Facility, Istituto Italiano di Tecnologia, Genova, Italy.
Claudio CanaleDIFILAB, Department of Physics, University of Genova, Genova, Italy.ORCID https://orcid.org/0000-0002-7582-6849
Alberto DiasproDIFILAB, Department of Physics, University of Genova, Genova, Italy.

Funding

DIFILAB RBAP11ETKA-005Programmi di Ricerca Scientifica di Rilevante Interesse Nazionale (PRIN). MIUR 20177XJCHX_003
6 · The paper itself

Abstract

Atomic force microscopy (AFM) is a nano-mechanical tool uniquely suited for biological studies at the molecular scale. AFM operation is based on mechanical interaction between the tip and the sample, a mechanism of contrast capable of measuring different information, including surface topography, mechanical, and electrical properties. However, the lack of specificity highlights the need to integrate AFM data with other techniques providing compositional hints. In particular, optical microscopes based on fluorescence as a mechanism of contrast can access the local distribution of specific molecular species. The coupling between AFM and super-resolved fluorescence microscopy solves the resolution mismatch between AFM and conventional fluorescence optical microscopy. Recent advances showed that also the inherently label-free imaging capabilities of the AFM are fundamental to complement the fluorescence images. In this review, we have presented a brief historical view on correlative microscopy, and, finally, we have summarized the progress of correlative AFM-super-resolution microscopy in biological research.

Indexed as

Microscopy, Atomic ForceMicroscopy, FluorescenceAFMcorrelative microscopycorrelative nanoscopySTEDSTORM

Identifiers

PMID33955625
PMCPMC8518117

What OpenQuestion holds

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Registered trials

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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.