Evidence map›Paper›PMID 35576273›Full record

ArticleThe journal of physical chemistry letters2022

Super-resolution Imaging of Plasmonic Near-Fields: Overcoming Emitter Mislocalizations.

Yuting Miao, Robert C Boutelle, Anastasia Blake, Vigneshwaran Chandrasekaran, Chris J Sheehan, Jennifer Hollingsworth, Daniel Neuhauser, Shimon Weiss

Abstract read
In one paragraph

Article in The journal of physical chemistry letters, 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

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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.

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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

8 authors.

Yuting MiaoDepartment of Chemistry and Biochemistry, University of California, Los Angeles, California 90095, United States.ORCID 0000-0002-6840-6010
Robert C BoutelleNational Institute of Standards and Technology, 100 Bureau Drive, Gaithersburg, Maryland 20899, United States.
Anastasia BlakeLos Alamos National Laboratory, Casa Grande Drive, Los Alamos, New Mexico 87544, United States.
Vigneshwaran ChandrasekaranLos Alamos National Laboratory, Casa Grande Drive, Los Alamos, New Mexico 87544, United States.ORCID 0000-0002-6014-9953
Chris J SheehanLos Alamos National Laboratory, Casa Grande Drive, Los Alamos, New Mexico 87544, United States.
Jennifer HollingsworthLos Alamos National Laboratory, Casa Grande Drive, Los Alamos, New Mexico 87544, United States.ORCID 0000-0003-3099-1215
Daniel NeuhauserDepartment of Chemistry and Biochemistry, University of California, Los Angeles, California 90095, United States.ORCID 0000-0003-3160-386X
Shimon WeissDepartment of Chemistry and Biochemistry, University of California, Los Angeles, California 90095, United States.ORCID 0000-0002-0720-5426

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Plasmonic nano-objects have shown great potential in enhancing applications like biological/chemical sensing, light harvesting and energy transfer, and optical/quantum computing. Therefore, an extensive effort has been vested in optimizing plasmonic systems and exploiting their field enhancement properties. Super-resolution imaging with quantum dots (QDs) is a promising method to probe plasmonic near-fields but is hindered by the distortion of the QD radiation pattern. Here, we investigate the interaction between QDs and "L-shaped" gold nanoantennas and demonstrate both theoretically and experimentally that this strong interaction can induce polarization-dependent modifications to the apparent QD emission intensity, polarization, and localization. Based on FDTD simulations and polarization-modulated single-molecule microscopy, we show that the displacement of the emitter's localization is due to the position-dependent interference between the emitter and the induced dipole, and can be up to 100 nm. Our results help pave a pathway for higher precision plasmonic near-field mapping and its underlying applications.

Indexed as

Computing MethodologiesQuantum DotsGoldQuantum TheorySingle Molecule ImagingGold

Identifiers

PMID35576273
PMCPMC9150090

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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.