Evidence map›Paper›PMID 40295495›Full record

ReviewLight, science & applications2025

Nanophotonic sensing and label-free imaging of extracellular vesicles.

Isabel Barth, Hakho Lee

Abstract readReview
In one paragraph

Review in Light, science & applications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
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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

2 authors.

Isabel BarthCenter for Systems Biology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02114, USA. isabel_barth@hms.harvard.edu.ORCID http://orcid.org/0000-0003-3781-7228
Hakho LeeCenter for Systems Biology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02114, USA. hlee@mgh.harvard.edu.ORCID http://orcid.org/0000-0002-0087-0909

Funding

Expanding early cancer detection with high throughput OCEANA - Ovarian Cancer Exosome Analysis with Nanoplasmonic ArrayU01CA284982 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI Cesar M Castro, Hakho Lee · 2023 to 2026
$3.7M
Imaging and Liquid Biopsy for Glioma Diagnosis and Treatment MonitoringR01CA239078 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI BALAJ, LEONORA, LEE, HAKHO · 2020 to 2024
$3.1M
High-throughput Phenotyping of iPSC-derived Airway Epithelium by Multiscale Machine Learning MicroscopyR01HL163513 · NHLBI · BOSTON CHILDREN'S HOSPITAL · PI Hakho Lee, Kwonmoo Lee · 2023 to 2026
$3.1M
High throughput nanoplasmonic exosome testing (NEXT) of immunotherapies in bladder cancerR01CA264363 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI CASTRO, CESAR M, LEE, HAKHO · 2021 to 2024
$2.4M
Composing CODAs to cervical cancer screening through an integrated CRISPR and fluorescent nucleic acid approachU01CA279858 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI Cesar M Castro, Hakho Lee · 2023 to 2026
$2.1M
3D Fourier Imaging System for High Throughput Analyses of Cancer OrganoidsR21CA267222 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI LEE, HAKHO · 2022 to 2024
$613k
NCI NIH HHS R01 CA239078NCI NIH HHS R01 CA264363NCI NIH HHS R21 CA267222NCI NIH HHS U01 CA279858NCI NIH HHS U01 CA284982NHLBI NIH HHS R01 HL163513U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI) R01CA239078U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI) R01CA264363U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI) R21CA267222U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI) U01CA279858U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI) U01CA284982U.S. Department of Health & Human Services | NIH | National Heart, Lung, and Blood Institute (NHLBI) R01HL163513
6 · The paper itself

Abstract

This review examines imaging-based nanophotonic biosensing and interferometric label-free imaging, with a particular focus on vesicle detection. It specifically compares dielectric and plasmonic metasurfaces for label-free protein and extracellular vesicle detection, highlighting their respective advantages and limitations. Key topics include: (i) refractometric sensing principles using resonant dielectric and plasmonic surfaces; (ii) state-of-the-art developments in both plasmonic and dielectric nanostructured resonant surfaces; (iii) a detailed comparison of resonance characteristics, including amplitude, quality factor, and evanescent field enhancement; and (iv) the relationship between sensitivity, near-field enhancement, and analyte overlap in different sensing platforms. The review provides insights into the fundamental differences between plasmonic and dielectric platforms, discussing their fabrication, integration potential, and suitability for various analyte sizes. It aims to offer a unified, application-oriented perspective on the potential of these resonant surfaces for biosensing and imaging, aiming at addressing topics of interest for both photonics experts and potential users of these technologies.

Identifiers

PMID40295495
PMCPMC12037801

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.