Evidence map›Paper›PMID 34500613›Full record

ArticleMolecules (Basel, Switzerland)2021

Simplified Near-Degenerate Four-Wave-Mixing Microscopy.

Jianjun Wang, Xi Zhang, Junbo Deng, Xing Hu, Yun Hu, Jiao Mao, Ming Ma, Yuhao Gao, Yingchun Wei, Fan Li and 4 more

Abstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

14 authors.

Jianjun WangSchool of Energy Engineering, Yulin University, Yulin 719000, China.ORCID 0000-0003-4433-7732
Xi ZhangSchool of Energy Engineering, Yulin University, Yulin 719000, China.
Junbo DengSchool of Energy Engineering, Yulin University, Yulin 719000, China.
Xing HuSchool of Energy Engineering, Yulin University, Yulin 719000, China.
Yun HuSchool of Energy Engineering, Yulin University, Yulin 719000, China.
Jiao MaoSchool of Energy Engineering, Yulin University, Yulin 719000, China.
Ming MaSchool of Energy Engineering, Yulin University, Yulin 719000, China.
Yuhao GaoSchool of Energy Engineering, Yulin University, Yulin 719000, China.
Yingchun WeiSchool of Energy Engineering, Yulin University, Yulin 719000, China.
Fan LiSchool of Energy Engineering, Yulin University, Yulin 719000, China.
Zhaohua WangSchool of Energy Engineering, Yulin University, Yulin 719000, China.
Xiaoli LiuSchool of Energy Engineering, Yulin University, Yulin 719000, China.
Jinyou XuSouth China Academy of Advanced Optoelectronics, South China Normal University, Guangzhou 510006, China.
Liqing RenSchool of Energy Engineering, Yulin University, Yulin 719000, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Four-wave-mixing microscopy is widely researched in both biology and medicine. In this paper, we present a simplified near-degenerate four-wave-mixing microscopy (SNDFWM). An ultra-steep long-pass filter is utilized to produce an ultra-steep edge on the spectrum of a femtosecond pulse, and a super-sensitive four-wave-mixing (FWM) signal can be generated via an ultra-steep short-pass filter. Compared with the current state-of-the-art FWM microscopy, this SNDFWM microscopy has the advantages of simpler experimental apparatus, lower cost, and easier operation. We demonstrate that this SNDFWM microscopy has high sensitivity and high spatial resolution in both nanowires and biological tissues. We also show that the SNDFWM microscopy can achieve an ultra-sensitive detection based on the electron-resonance effect. This method might find an important application in tracking of nano drugs in vivo.

Indexed as

four-wave-mixingmicroscopynear-degenerate

Identifiers

PMID34500613
PMCPMC8434140

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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.