Evidence map›Paper›PMID 29713082›Full record

ArticleNature methods2018

Self-interference 3D super-resolution microscopy for deep tissue investigations.

Pierre Bon, Jeanne Linarès-Loyez, Maxime Feyeux, Kevin Alessandri, Brahim Lounis, Pierre Nassoy, Laurent Cognet

Abstract read
PubMed Publisher
In one paragraph

Article in Nature methods, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
15.7field-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

34 citing papers in PubMed, 113 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 1 institution in 1 country.

Pierre BonUniversité de Bordeaux, Laboratoire Photonique Numérique et Nanosciences, UMR 5298, F-33400, Talence, France. pierre.bon@u-bordeaux.fr.ORCID http://orcid.org/0000-0002-7820-5327
Jeanne Linarès-LoyezUniversité de Bordeaux, Laboratoire Photonique Numérique et Nanosciences, UMR 5298, F-33400, Talence, France.
Maxime FeyeuxUniversité de Bordeaux, Laboratoire Photonique Numérique et Nanosciences, UMR 5298, F-33400, Talence, France.
Kevin AlessandriUniversité de Bordeaux, Laboratoire Photonique Numérique et Nanosciences, UMR 5298, F-33400, Talence, France.
Brahim LounisUniversité de Bordeaux, Laboratoire Photonique Numérique et Nanosciences, UMR 5298, F-33400, Talence, France.
Pierre NassoyUniversité de Bordeaux, Laboratoire Photonique Numérique et Nanosciences, UMR 5298, F-33400, Talence, France.
Laurent CognetUniversité de Bordeaux, Laboratoire Photonique Numérique et Nanosciences, UMR 5298, F-33400, Talence, France. laurent.cognet@u-bordeaux.fr.ORCID http://orcid.org/0000-0002-3573-5387
Centre National de la Recherche Scientifique · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fluorescence localization microscopy has achieved near-molecular resolution capable of revealing ultra-structures, with a broad range of applications, especially in cellular biology. However, it remains challenging to attain such resolution in three dimensions and inside biological tissues beyond the first cell layer. Here we introduce SELFI, a framework for 3D single-molecule localization within multicellular specimens and tissues. The approach relies on self-interference generated within the microscope's point spread function (PSF) to simultaneously encode equiphase and intensity fluorescence signals, which together provide the 3D position of an emitter. We combined SELFI with conventional localization microscopy to visualize F-actin 3D filament networks and reveal the spatial distribution of the transcription factor OCT4 in human induced pluripotent stem cells at depths up to 50 µm inside uncleared tissue spheroids. SELFI paves the way to nanoscale investigations of native cellular processes in intact tissues.

Indexed as

ActinsHumansInduced Pluripotent Stem CellsMicroscopy, InterferenceOctamer Transcription Factor-3Pluripotent Stem CellsSingle Molecule ImagingActinsOctamer Transcription Factor-3POU5F1 protein, human

Identifiers

PMID29713082
OpenAlexW2799290404

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.