Evidence map›Paper›PMID 34789724›Full record

ArticleNature communications2021

Fast non-line-of-sight imaging with high-resolution and wide field of view using synthetic wavelength holography.

Florian Willomitzer, Prasanna V Rangarajan, Fengqiang Li, Muralidhar M Balaji, Marc P Christensen, Oliver Cossairt

Abstract 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 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
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

9 citing papers in PubMed.

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  9. Toward Water-Immersion Programmable Meta-Display.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023
    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

6 authors.

Florian WillomitzerDepartment of Electrical and Computer Engineering, Northwestern University, Evanston, IL, 60208, USA. florian.willomitzer@northwestern.edu.ORCID http://orcid.org/0000-0003-1563-1131
Prasanna V RangarajanDepartment of Electrical and Computer Engineering, Southern Methodist University, Dallas, TX, 75205, USA.ORCID http://orcid.org/0000-0002-9108-0362
Fengqiang LiDepartment of Computer Science, Northwestern University, Evanston, IL, 60208, USA.ORCID http://orcid.org/0000-0002-0271-0693
Muralidhar M BalajiDepartment of Electrical and Computer Engineering, Southern Methodist University, Dallas, TX, 75205, USA.
Marc P ChristensenDepartment of Electrical and Computer Engineering, Southern Methodist University, Dallas, TX, 75205, USA.ORCID http://orcid.org/0000-0002-2386-9863
Oliver CossairtDepartment of Electrical and Computer Engineering, Northwestern University, Evanston, IL, 60208, USA.

Funding

NIEHS NIH HHS 27302C0028
6 · The paper itself

Abstract

The presence of a scattering medium in the imaging path between an object and an observer is known to severely limit the visual acuity of the imaging system. We present an approach to circumvent the deleterious effects of scattering, by exploiting spectral correlations in scattered wavefronts. Our Synthetic Wavelength Holography (SWH) method is able to recover a holographic representation of hidden targets with sub-mm resolution over a nearly hemispheric angular field of view. The complete object field is recorded within 46 ms, by monitoring the scattered light return in a probe area smaller than 6 cm × 6 cm. This unique combination of attributes opens up a plethora of new Non-Line-of-Sight imaging applications ranging from medical imaging and forensics, to early-warning navigation systems and reconnaissance. Adapting the findings of this work to other wave phenomena will help unlock a wider gamut of applications beyond those envisioned in this paper.

Identifiers

PMID34789724
PMCPMC8599621

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Registered trials

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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.