Evidence map›Paper›PMID 37015941›Full record

ArticleNature communications2023

Exploiting volumetric wave correlation for enhanced depth imaging in scattering medium.

Ye-Ryoung Lee, Dong-Young Kim, Yonghyeon Jo, Moonseok Kim, Wonshik Choi

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.8field-weighted citation impact, top 17% 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

2 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. 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

5 authors at 2 institutions in 2 countries.

Ye-Ryoung Lee *Center for Molecular Spectroscopy and Dynamics, Institute for Basic Science, Seoul, 02841, Korea.ORCID http://orcid.org/0000-0003-4292-8424
Dong-Young Kim *Center for Molecular Spectroscopy and Dynamics, Institute for Basic Science, Seoul, 02841, Korea.
Yonghyeon JoCenter for Molecular Spectroscopy and Dynamics, Institute for Basic Science, Seoul, 02841, Korea.ORCID http://orcid.org/0000-0002-4487-1735
Moonseok KimDepartment of Medical Life Sciences, College of Medicine, The Catholic University of Korea, Seoul, 06591, Korea.
Wonshik ChoiCenter for Molecular Spectroscopy and Dynamics, Institute for Basic Science, Seoul, 02841, Korea. wonshik@korea.ac.kr.ORCID http://orcid.org/0000-0002-9445-7081
Korea University · KRCatholic University of Korea · KR

Funding

Institute for Basic Science (IBS) IBS-R023-D1
6 · The paper itself

Abstract

Imaging an object embedded within a scattering medium requires the correction of complex sample-induced wave distortions. Existing approaches have been designed to resolve them by optimizing signal waves recorded in each 2D image. Here, we present a volumetric image reconstruction framework that merges two fundamental degrees of freedom, the wavelength and propagation angles of light waves, based on the object momentum conservation principle. On this basis, we propose methods for exploiting the correlation of signal waves from volumetric images to better cope with multiple scattering. By constructing experimental systems scanning both wavelength and illumination angle of the light source, we demonstrated a 32-fold increase in the use of signal waves compared with that of existing 2D-based approaches and achieved ultrahigh volumetric resolution (lateral resolution: 0.41 [Formula: see text], axial resolution: 0.60 [Formula: see text]) even within complex scattering medium owing to the optimal coherent use of the broad spectral bandwidth (225 nm).

Identifiers

PMID37015941
PMCPMC10073116
OpenAlexW4362593081

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.