ArticleScientific reports2016
Real-time imaging through strongly scattering media: seeing through turbid media, instantly.
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 10 papers.
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.
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.
Who cites it
10 citing papers in PubMed.
- Experimental Characterization of Polarized Light Backscattering in Fog Environments.Sensors (Basel, Switzerland) · 2023Article
- A boundary migration model for imaging within volumetric scattering media.Nature communications · 2022Article
- Spatial light modulator aided noninvasive imaging through scattering layers.Scientific reports · 2019Article
- Single-pixel imaging of the retina through scattering media.Biomedical optics express · 2019Article
- Polarimetric image recovery method combining histogram stretching for underwater imaging.Scientific reports · 2018Article
- Imaging through scattering medium by adaptive non-linear digital processing.Scientific reports · 2018Article
- Imaging through scattering media with the auxiliary of a known reference object.Scientific reports · 2018Article
- A new Monte Carlo code for light transport in biological tissue.Medical & biological engineering & computing · 2018Article
- 3D Imaging through Scatterers with Interferenceless Optical System.Scientific reports · 2018Article
- Imaging moving targets through scattering media.Optics express · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Numerous everyday situations like navigation, medical imaging and rescue operations require viewing through optically inhomogeneous media. This is a challenging task as photons propagate predominantly diffusively (rather than ballistically) due to random multiple scattering off the inhomogenieties. Real-time imaging with ballistic light under continuous-wave illumination is even more challenging due to the extremely weak signal, necessitating voluminous data-processing. Here we report imaging through strongly scattering media in real-time and at rates several times the critical flicker frequency of the eye, so that motion is perceived as continuous. Two factors contributed to the speedup of more than three orders of magnitude over conventional techniques - the use of a simplified algorithm enabling processing of data on the fly, and the utilisation of task and data parallelization capabilities of typical desktop computers. The extreme simplicity of the technique, and its implementation with present day low-cost technology promises its utility in a variety of devices in maritime, aerospace, rail and road transport, in medical imaging and defence. It is of equal interest to the common man and adventure sportsperson like hikers, divers, mountaineers, who frequently encounter situations requiring realtime imaging through obscuring media. As a specific example, navigation under poor visibility is examined.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.