Evidence map›Paper›PMID 40473614›Full record

ArticleMicrosystems & nanoengineering2025

High-order near-field imaging of low-dimensional materials at infrared wavelengths.

Shuhao Zhao, Peirui Ji, Fei Wang, Shaobo Li, Guofeng Zhang, Tao Liu, Shuming Yang

Abstract read
In one paragraph

Article in Microsystems & nanoengineering, 2025. 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. Article
  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

7 authors.

Shuhao Zhao *State Key Laboratory for Manufacturing System Engineering, Xi'an Jiaotong University, Xi'an, 710049, China.
Peirui Ji *State Key Laboratory for Manufacturing System Engineering, Xi'an Jiaotong University, Xi'an, 710049, China.
Fei WangState Key Laboratory for Manufacturing System Engineering, Xi'an Jiaotong University, Xi'an, 710049, China.
Shaobo LiState Key Laboratory for Manufacturing System Engineering, Xi'an Jiaotong University, Xi'an, 710049, China.
Guofeng ZhangState Key Laboratory for Manufacturing System Engineering, Xi'an Jiaotong University, Xi'an, 710049, China.
Tao LiuState Key Laboratory for Manufacturing System Engineering, Xi'an Jiaotong University, Xi'an, 710049, China.
Shuming YangState Key Laboratory for Manufacturing System Engineering, Xi'an Jiaotong University, Xi'an, 710049, China. shuming.yang@mail.xjtu.edu.cn.

Funding

China National Funds for Distinguished Young Scientists 52225507National Natural Science Foundation of China (National Science Foundation of China) 52305584
6 · The paper itself

Abstract

Near-field imaging provides insight into the fundamental light-matter interactions on a nanometer scale. Scattering-type scanning near-field optical microscopy (s-SNOM) is a powerful technique capable of overcoming the diffraction limit and achieving spatial resolutions below 10 nm (sub-10 nm). However, constrained by the working mechanisms, the signal-to-noise ratio of the imaging is highly affected by undesired background scattering light, which is found to be associated with the optical mode and excitation wavelength, especially for samples with a large specific surface area. Here, we propose a high-resolution method with high-order near-field modes at the infrared range to measure low-dimensional materials. With this technique, we reveal the excitation and propagation of the surface plasmon polaritons in graphene and carbon nanotubes, which was impossible with the low-order imaging approach. Besides, the imaging quality for gold nanoparticles on gold thin film is much better than the AFM results. This paper offers an advanced approach for high-resolution measurement of low-dimensional materials with s-SNOM, owning great potential for sensitive nanoscale imaging.

Identifiers

PMID40473614
PMCPMC12141435

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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.