Evidence map›Paper›PMID 42580360›Full record

ArticleJournal of biophotonics2026

Linear Variable Filter-Based Wide-Field Hyperspectral Camera for Multiplex Immunoplasmonics Imaging.

Cécile Darviot, Michel Meunier

Abstract read
In one paragraph

Article in Journal of biophotonics, 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.

Cécile DarviotDepartment of Engineering Physics, Polytechnique Montréal, Montréal, Canada.
Michel MeunierDepartment of Engineering Physics, Polytechnique Montréal, Montréal, Canada.ORCID 0000-0002-2398-5602

Funding

Natural Sciences and Engineering Research Council of Canada
6 · The paper itself

Abstract

Hyperspectral imaging combined with plasmonic nanoparticles offers powerful opportunities for nanoscale biological diagnostics, yet conventional push-broom systems are limited by slow acquisition and reduced spatial resolution. We report a wide-field hyperspectral imaging platform integrating a custom linear variable tunable filter (LVTF) with reflected light microscopy (RLM) for multiplexed plasmonic nanoparticle (NP) imaging. While LVTF-based systems have been used in industrial contexts, their adaptation to RLM microscopy enables high-resolution, high-contrast spectral imaging of NPs on biological samples. The system acquires data across 380-720 nm with 7-20 nm spectral resolution while preserving spatial detail. We demonstrate imaging of NPs bound to cancer cell membranes and classification of four distinct NP types. A trained support vector machine achieves an overall F-score of ~97%, significantly outperforming RGB-based approaches. Compared to push-broom systems, this platform provides faster acquisition, improved spatial resolution, and a compact, cost-effective solution for multiplex NP detection in bioimaging and immunoplasmonic applications.

Indexed as

Hyperspectral ImagingHumansMicroscopy

Identifiers

PMID42580360
PMCPMC13461245

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.