Evidence map›Paper›PMID 41914702›Full record

ReviewBioEssays : news and reviews in molecular, cellular and developmental biology2026

Metal-Enhanced Fluorescence for the Biologist's Cellular Imaging Toolkit: Design Principles and Recent Applications.

Gregory K Hodgson, Stefania Impellizzeri

Abstract readReview
In one paragraph

Review in BioEssays : news and reviews in molecular, cellular and developmental biology, 2026. 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

2 authors.

Gregory K HodgsonDepartment of Chemistry and Biology, Toronto Metropolitan University, Toronto, Ontario, Canada.
Stefania ImpellizzeriDepartment of Chemistry and Biology, Toronto Metropolitan University, Toronto, Ontario, Canada.

Funding

Natural Sciences and Engineering Research Council of Canada RGPIN 2018-0416Natural Sciences and Engineering Research Council of Canada RGPIN 2018-0616Natural Sciences and Engineering Research Council of Canada RGPIN 2025-04905Toronto Metropolitan University and the Toronto Metropolitan University Faculty of Science Dean's Research Fund
6 · The paper itself

Abstract

Fluorescence microscopy is essential in modern cell biology but remains constrained by photobleaching, autofluorescence, and the intrinsic quantum yields of emitters. Metal-enhanced fluorescence (MEF) is a photophysical phenomenon in which interactions between luminescent species and metal nanostructures markedly increase emission, enabling a route to brighter, high-contrast, noninvasive bioimaging by reshaping photophysical pathways without modifying fluorophore chemistry. This review translates MEF fundamentals into an experimental playbook for biologists, distinguishing MEF mechanisms and explaining how distance, spectral overlap, and nanoparticle morphology govern whether emission is boosted or quenched. We synthesize recent live-cell applications-using gold and silver nanoparticles-to illustrate gains in signal-to-noise at lower excitation power, improved photostability, and opportunities where small-molecule dyes often suffer low quantum yield, and provide practical guidelines for pairing dyes with metal nanostructures to lower the barrier to adopting MEF in cellular imaging.

Indexed as

Metal NanoparticlesMetalsAnimalsFluorescenceFluorescent DyesGoldHumansMicroscopy, FluorescenceSilverFluorescent DyesGoldMetalsSilverbioimagingfluorescence microscopygold nanoparticlesmetal enhanced fluorescenceplasmonicssilver nanoparticles

Identifiers

PMID41914702
PMCPMC13037458

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.