Evidence map›Paper›PMID 34031402›Full record

ArticleNature communications2021

Fast widefield scan provides tunable and uniform illumination optimizing super-resolution microscopy on large fields.

Adrien Mau, Karoline Friedl, Christophe Leterrier, Nicolas Bourg, Sandrine Lévêque-Fort

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
13.5field-weighted citation impact, top 1% of its field
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

30 citing papers in PubMed, 67 citations in OpenAlex.

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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

5 authors at 1 institution in 1 country.

Adrien MauInstitut des Sciences Moléculaires d'Orsay, Université Paris-Saclay, CNRS, Orsay, France.ORCID 0000-0003-0928-4989
Karoline FriedlAbbelight, Cachan, France.ORCID 0000-0001-6616-0224
Christophe LeterrierAix-Marseille Université, CNRS, INP UMR7051, NeuroCyto, Marseille, France.ORCID 0000-0002-2957-2032
Nicolas BourgAbbelight, Cachan, France.ORCID 0000-0002-0640-2241
Sandrine Lévêque-FortInstitut des Sciences Moléculaires d'Orsay, Université Paris-Saclay, CNRS, Orsay, France. sandrine.leveque-fort@universite-paris-saclay.fr.ORCID 0000-0002-9218-3363
Centre National de la Recherche Scientifique · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Non-uniform illumination limits quantitative analyses of fluorescence imaging techniques. In particular, single molecule localization microscopy (SMLM) relies on high irradiances, but conventional Gaussian-shaped laser illumination restricts the usable field of view to around 40 µm × 40 µm. We present Adaptable Scanning for Tunable Excitation Regions (ASTER), a versatile illumination technique that generates uniform and adaptable illumination. ASTER is also highly compatible with optical sectioning techniques such as total internal reflection fluorescence (TIRF). For SMLM, ASTER delivers homogeneous blinking kinetics at reasonable laser power over fields-of-view up to 200 µm × 200 µm. We demonstrate that ASTER improves clustering analysis and nanoscopic size measurements by imaging nanorulers, microtubules and clathrin-coated pits in COS-7 cells, and β2-spectrin in neurons. ASTER's sharp and quantitative illumination paves the way for high-throughput quantification of biological structures and processes in classical and super-resolution fluorescence microscopies.

Indexed as

LightingAlgorithmsAnimalsChlorocebus aethiopsCOS CellsLasersLightMicroscopy, FluorescenceMicrotubulesOptical ImagingReproducibility of ResultsSingle Molecule Imaging

Identifiers

PMID34031402
PMCPMC8144377
OpenAlexW3164923600

What OpenQuestion 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 OpenQuestion graph.