Evidence map›Paper›PMID 35975425›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2022

Lanthanide Ion Resonance-Driven Rayleigh Scattering of Nanoparticles for Dual-Modality Interferometric Scattering Microscopy.

Lei Ding, Xuchen Shan, Dejiang Wang, Baolei Liu, Ziqing Du, Xiangjun Di, Chaohao Chen, Mahnaz Maddahfar, Ling Zhang, Yuzhi Shi and 5 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2022. 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

15 authors.

Lei DingSchool of Mathematical and Physical Sciences, Faculty of Science, University of Technology Sydney, Ultimo, New South Wales, 2007, Australia.
Xuchen ShanSchool of Mathematical and Physical Sciences, Faculty of Science, University of Technology Sydney, Ultimo, New South Wales, 2007, Australia.
Dejiang WangSchool of Mathematical and Physical Sciences, Faculty of Science, University of Technology Sydney, Ultimo, New South Wales, 2007, Australia.
Baolei LiuSchool of Physics, Beihang University, Beijing, 100191, China.
Ziqing DuSchool of Mathematical and Physical Sciences, Faculty of Science, University of Technology Sydney, Ultimo, New South Wales, 2007, Australia.
Xiangjun DiSchool of Mathematical and Physical Sciences, Faculty of Science, University of Technology Sydney, Ultimo, New South Wales, 2007, Australia.
Chaohao ChenSchool of Electrical and Data Engineering, Faculty of Engineering and Information Technology, University of Technology Sydney, Ultimo, New South Wales, 2007, Australia.
Mahnaz MaddahfarSchool of Mathematical and Physical Sciences, Faculty of Science, University of Technology Sydney, Ultimo, New South Wales, 2007, Australia.
Ling ZhangSchool of Electrical and Data Engineering, Faculty of Engineering and Information Technology, University of Technology Sydney, Ultimo, New South Wales, 2007, Australia.
Yuzhi ShiNational Key Laboratory of Science and Technology on Micro/Nano Fabrication, Department of Micro/Nano Electronics, Shanghai Jiao Tong University, Shanghai, 200240, P. R. China.
Peter ReeceSchool of Physics, The University of New South Wales, Kensington, New South Wales, 2033, Australia.
Benjamin HalkonCentre for Audio, Acoustics & Vibration, Faculty of Engineering & IT, University of Technology Sydney, Ultimo, New South Wales, 2007, Australia.
Igor AharonovichSchool of Mathematical and Physical Sciences, Faculty of Science, University of Technology Sydney, Ultimo, New South Wales, 2007, Australia.
Xiaoxue XuSchool of Biomedical Engineering, Faculty of Engineering and Information Technology, University of Technology Sydney, Ultimo, New South Wales, 2007, Australia.
Fan WangSchool of Electrical and Data Engineering, Faculty of Engineering and Information Technology, University of Technology Sydney, Ultimo, New South Wales, 2007, Australia.ORCID 0000-0001-7403-3305

Funding

ARC Discovery Project DP190101058ARC Project CE200100010Australian Research Council DE200100074China Scholarship Council 201706170027China Scholarship Council 201706170028China Scholarship Council 201708200004China Scholarship Council 201809370076UTS Chancellor's Postdoctoral Research PRO18-6128
6 · The paper itself

Abstract

Light scattering from nanoparticles is significant in nanoscale imaging, photon confinement. and biosensing. However, engineering the scattering spectrum, traditionally by modifying the geometric feature of particles, requires synthesis and fabrication with nanometre accuracy. Here it is reported that doping lanthanide ions can engineer the scattering properties of low-refractive-index nanoparticles. When the excitation wavelength matches the ion resonance frequency of lanthanide ions, the polarizability and the resulted scattering cross-section of nanoparticles are dramatically enhanced. It is demonstrated that these purposely engineered nanoparticles can be used for interferometric scattering (iSCAT) microscopy. Conceptually, a dual-modality iSCAT microscopy is further developed to identify different nanoparticle types in living HeLa cells. The work provides insight into engineering the scattering features by doping elements in nanomaterials, further inspiring exploration of the geometry-independent scattering modulation strategy.

Indexed as

Lanthanoid Series ElementsNanoparticlesHeLa CellsHumansIonsMicroscopyIonsLanthanoid Series Elementsinterferometric scattering microscopylanthanide-doped nanoparticleresonancescattering

Identifiers

PMID35975425
PMCPMC9661846

What OpenQuestion holds

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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.