Evidence map›Paper›PMID 33924285›Full record

ArticleSensors (Basel, Switzerland)2021

Transmissive Single-Pixel Microscopic Imaging through Scattering Media.

Huaxia Deng, Guan Wang, Qiang Li, Qianzhen Sun, Mengchao Ma, Xiang Zhong

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2021. 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
–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

2 citing papers in PubMed.

  1. Review
  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

6 authors.

Huaxia DengSchool of Instrument Science and Opto-Electronics Engineering, Hefei University of Technology, Hefei 230009, China.ORCID 0000-0002-6529-6071
Guan WangSchool of Instrument Science and Opto-Electronics Engineering, Hefei University of Technology, Hefei 230009, China.ORCID 0000-0002-2928-0187
Qiang LiSchool of Instrument Science and Opto-Electronics Engineering, Hefei University of Technology, Hefei 230009, China.ORCID 0000-0003-3752-1136
Qianzhen SunSchool of Instrument Science and Opto-Electronics Engineering, Hefei University of Technology, Hefei 230009, China.ORCID 0000-0001-9451-4245
Mengchao MaSchool of Instrument Science and Opto-Electronics Engineering, Hefei University of Technology, Hefei 230009, China.ORCID 0000-0001-9682-7499
Xiang ZhongSchool of Instrument Science and Opto-Electronics Engineering, Hefei University of Technology, Hefei 230009, China.ORCID 0000-0003-4501-4724

Funding

National Natural Science Foundation of China 11872167National Natural Science Foundation of China 51705122National Natural Science Foundation of China 51775164Natural Science Foundation of Anhui Province 1908085J15
6 · The paper itself

Abstract

Microscopic imaging is of great significance for medical diagnosis. However, due to the strong scattering and absorption of tissue, the implementation of non-invasive microscopic imaging is very difficult. Traditional single-pixel microscopes, based on reflective optical systems, provide an alternative solution for scattering media imaging. Here, the single-pixel microscope with transmissive liquid crystal modulation is proposed. The microscopic ability of the proposed microscope is calibrated. The multi-spectral microscopic imaging of the object is demonstrated. The transmissive imaging of the object behind the scattering media is analyzed. The proposed prototype of the transmissive single-pixel microscope is expected to be applied in microscopic imaging through scattering media and medical imaging.

Indexed as

Liquid CrystalsOptical DevicesMicroscopyLC-SLMmicroscopic imagingmulti-spectralscattering mediasingle-pixel imaging

Identifiers

PMID33924285
PMCPMC8069136

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.