Evidence map›Paper›PMID 29359100›Full record

ArticleBiomedical optics express2018

Fast epi-detected broadband multiplex CARS and SHG imaging of mouse skull cells.

Erwan Capitaine, Nawel Ould Moussa, Christophe Louot, Sylvia M Bardet, Hideaki Kano, Ludovic Duponchel, Philippe Lévêque, Vincent Couderc, Philippe Leproux

Open access · goldAbstract read
In one paragraph

Article in Biomedical optics express, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
3.4field-weighted citation impact, top 7% 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

6 citing papers in PubMed, 24 citations in OpenAlex.

  1. Review
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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

9 authors at 2 institutions in 2 countries.

Erwan CapitaineXLIM UMR 7252, CNRS-Université de Limoges, 123 avenue Albert Thomas, 87060 Limoges Cedex, France.
Nawel Ould MoussaXLIM UMR 7252, CNRS-Université de Limoges, 123 avenue Albert Thomas, 87060 Limoges Cedex, France.
Christophe LouotXLIM UMR 7252, CNRS-Université de Limoges, 123 avenue Albert Thomas, 87060 Limoges Cedex, France.
Sylvia M BardetXLIM UMR 7252, CNRS-Université de Limoges, 123 avenue Albert Thomas, 87060 Limoges Cedex, France.
Hideaki KanoDepartment of Applied Physics, Graduate School of Pure and Applied Sciences, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki, 305-8573, Japan.
Ludovic DuponchelLASIR UMR 8516, CNRS-Université Lille 1, Sciences et Technologies, 59655 Villeneuve d'Ascq Cedex, France.
Philippe LévêqueXLIM UMR 7252, CNRS-Université de Limoges, 123 avenue Albert Thomas, 87060 Limoges Cedex, France.
Vincent CoudercXLIM UMR 7252, CNRS-Université de Limoges, 123 avenue Albert Thomas, 87060 Limoges Cedex, France.
Philippe LeprouxXLIM UMR 7252, CNRS-Université de Limoges, 123 avenue Albert Thomas, 87060 Limoges Cedex, France.
Centre National de la Recherche Scientifique · FRUniversity of Tsukuba · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We present a bimodal imaging system able to obtain epi-detected mutiplex coherent anti-Stokes Raman scattering (M-CARS) and second harmonic generation (SHG) signals coming from biological samples. We studied a fragment of mouse parietal bone and could detect broadband anti-Stokes and SHG responses originating from bone cells and collagen respectively. In addition we compared two post-processing methods to retrieve the imaginary part of the third-order nonlinear susceptibility related to the spontaneous Raman scattering.

Indexed as

(170.3880) Medical and biological imaging(180.4315) Nonlinear microscopy(300.6230) Spectroscopy, coherent anti-Stokes Raman scattering

Identifiers

PMID29359100
PMCPMC5772578
OpenAlexW2777612259

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.