Evidence map›Paper›PMID 32728161›Full record

ArticleScientific reports2020

Three-dimensional bright-field microscopy with isotropic resolution based on multi-view acquisition and image fusion reconstruction.

Gianmaria Calisesi, Alessia Candeo, Andrea Farina, Cosimo D'Andrea, Vittorio Magni, Gianluca Valentini, Anna Pistocchi, Alex Costa, Andrea Bassi

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.6field-weighted citation impact, top 14% 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

5 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Optical sectioning of unlabeled samples using bright-field microscopy.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  5. 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

9 authors at 3 institutions in 1 country.

Gianmaria CalisesiDipartimento di Fisica, Politecnico di Milano, piazza Leonardo da Vinci 32, 20133, Milan, Italy.
Alessia CandeoDipartimento di Fisica, Politecnico di Milano, piazza Leonardo da Vinci 32, 20133, Milan, Italy.
Andrea FarinaIstituto di Fotonica e Nanotecnologie, Consiglio Nazionale delle ricerche, piazza Leonardo da Vinci 32, 20133, Milan, Italy.
Cosimo D'AndreaDipartimento di Fisica, Politecnico di Milano, piazza Leonardo da Vinci 32, 20133, Milan, Italy.
Vittorio MagniDipartimento di Fisica, Politecnico di Milano, piazza Leonardo da Vinci 32, 20133, Milan, Italy.
Gianluca ValentiniDipartimento di Fisica, Politecnico di Milano, piazza Leonardo da Vinci 32, 20133, Milan, Italy.
Anna PistocchiDipartimento di Biotecnologie Mediche e Medicina Traslazionale, Università degli Studi di Milano, via Fratelli Cervi 93, 20090, Segrate, Italy.
Alex CostaDipartimento di Bioscienze, Università degli Studi di Milano, via Celoria 26, 20133, Milan, Italy.
Andrea BassiDipartimento di Fisica, Politecnico di Milano, piazza Leonardo da Vinci 32, 20133, Milan, Italy. andrea1.bassi@polimi.it.
Politecnico di Milano · ITIstituto di Fotonica e Nanotecnologie · ITUniversity of Milan · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Optical Projection Tomography (OPT) is a powerful three-dimensional imaging technique used for the observation of millimeter-scaled biological samples, compatible with bright-field and fluorescence contrast. OPT is affected by spatially variant artifacts caused by the fact that light diffraction is not taken into account by the straight-light propagation models used for reconstruction. These artifacts hinder high-resolution imaging with OPT. In this work we show that, by using a multiview imaging approach, a 3D reconstruction of the bright-field contrast can be obtained without the diffraction artifacts typical of OPT, drastically reducing the amount of acquired data, compared to previously reported approaches. The method, purely based on bright-field contrast of the unstained sample, provides a comprehensive picture of the sample anatomy, as demonstrated in vivo on Arabidopsis thaliana and zebrafish embryos. Furthermore, this bright-field reconstruction can be implemented on practically any multi-view light-sheet fluorescence microscope without complex hardware modifications or calibrations, complementing the fluorescence information with tissue anatomy.

Identifiers

PMID32728161
PMCPMC7392767
OpenAlexW3045969064

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.