Evidence map›Paper›PMID 38007546›Full record

ArticleNature communications2023

Overlapping speckle correlation algorithm for high-resolution imaging and tracking of objects in unknown scattering media.

Yaoyao Shi, Wei Sheng, Yangyang Fu, Youwen Liu

Abstract 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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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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

4 authors.

Yaoyao ShiCollege of Physics, Nanjing University of Aeronautics and Astronautics, Nanjing, 210016, China. syy411@nuaa.edu.cn.ORCID http://orcid.org/0000-0002-5760-5831
Wei ShengCollege of Physics, Nanjing University of Aeronautics and Astronautics, Nanjing, 210016, China.ORCID http://orcid.org/0000-0002-3857-0725
Yangyang FuCollege of Physics, Nanjing University of Aeronautics and Astronautics, Nanjing, 210016, China. yyfu@nuaa.edu.cn.ORCID http://orcid.org/0000-0001-6503-1092
Youwen LiuCollege of Physics, Nanjing University of Aeronautics and Astronautics, Nanjing, 210016, China. ywliu@nuaa.edu.cn.ORCID http://orcid.org/0000-0002-0819-1839

Funding

National Natural Science Foundation of China (National Science Foundation of China) 12274224National Natural Science Foundation of China (National Science Foundation of China) 12274225National Natural Science Foundation of China (National Science Foundation of China) 62105146Natural Science Foundation of Jiangsu Province (Jiangsu Provincial Natural Science Foundation) BK20210290Natural Science Foundation of Jiangsu Province (Jiangsu Provincial Natural Science Foundation) BK20230089
6 · The paper itself

Abstract

Optical imaging in scattering media is important to many fields but remains challenging. Recent methods have focused on imaging through thin scattering layers or thicker scattering media with prior knowledge of the sample, but this still limits practical applications. Here, we report an imaging method named 'speckle kinetography' that enables high-resolution imaging in unknown scattering media with thicknesses up to about 6 transport mean free paths. Speckle kinetography non-invasively records a series of incoherent speckle images accompanied by object motion and the inherently retained object information is extracted through an overlapping speckle correlation algorithm to construct the object's autocorrelation for imaging. Under single-colour light-emitting diode, white light, and fluorescence illumination, we experimentally demonstrate 1 μm resolution imaging and tracking of objects moving in scattering samples, while reducing the requirements for prior knowledge. We anticipate this method will enable imaging in currently inaccessible scenarios.

Identifiers

PMID38007546
PMCPMC10676403

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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.