Evidence map›Paper›PMID 27683065›Full record

ArticleScientific reports2016

All Photons Imaging Through Volumetric Scattering.

Guy Satat, Barmak Heshmat, Dan Raviv, Ramesh Raskar

Abstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Imaging Dynamics Beneath Turbid Media via Parallelized Single-Photon Detection.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2022
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review of structured light in diffuse optical imaging.Journal of biomedical optics · 2018
    Review
  16. Article
  17. A new Monte Carlo code for light transport in biological tissue.Medical & biological engineering & computing · 2018
    Article
  18. 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

4 authors.

Guy SatatMedia Lab, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Barmak HeshmatMedia Lab, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Dan RavivMedia Lab, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Ramesh RaskarMedia Lab, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Imaging through thick highly scattering media (sample thickness ≫ mean free path) can realize broad applications in biomedical and industrial imaging as well as remote sensing. Here we propose a computational "All Photons Imaging" (API) framework that utilizes time-resolved measurement for imaging through thick volumetric scattering by using both early arrived (non-scattered) and diffused photons. As opposed to other methods which aim to lock on specific photons (coherent, ballistic, acoustically modulated, etc.), this framework aims to use all of the optical signal. Compared to conventional early photon measurements for imaging through a 15 mm tissue phantom, our method shows a two fold improvement in spatial resolution (4db increase in Peak SNR). This all optical, calibration-free framework enables widefield imaging through thick turbid media, and opens new avenues in non-invasive testing, analysis, and diagnosis.

Identifiers

PMID27683065
PMCPMC5041145

What OpenQuestion holds

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LicenceCC BY
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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.