Evidence map›Paper›PMID 42529483›Full record

ReviewChemical & biomedical imaging2026

Surface Plasmon Resonance Imaging and Microscopy Modalities for Information-Rich, Label-Free Analysis of Biomolecular Interactions and Disease Biomarkers.

Victor A Hanson, Westley Van Zant, Cole P Ebel, Alexander S Malinick, Daniel D Stuart, Luke N Stemple, Quan Cheng

Abstract readReview
In one paragraph

Review in Chemical & biomedical imaging, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Strategies for Multiplexing Plasmonic Biosensing.Sensors (Basel, Switzerland) · 2026
    Review
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

7 authors.

Victor A HansonDepartment of Chemistry, University of California, Riverside, California 92521, United States.
Westley Van ZantDepartment of Chemistry, University of California, Riverside, California 92521, United States.ORCID https://orcid.org/0000-0002-4123-3551
Cole P EbelDepartment of Chemistry, University of California, Riverside, California 92521, United States.ORCID https://orcid.org/0000-0003-2664-9935
Alexander S MalinickDepartment of Chemistry, University of California, Riverside, California 92521, United States.
Daniel D StuartDepartment of Chemistry, University of California, Riverside, California 92521, United States.
Luke N StempleDepartment of Chemistry, University of California, Riverside, California 92521, United States.
Quan ChengDepartment of Chemistry, University of California, Riverside, California 92521, United States.ORCID https://orcid.org/0000-0003-0934-358X

Funding

Diagnostics on demand: a biosensor platform for multiplexed small molecule detectionR01GM151616 · NIGMS · UNIVERSITY OF CALIFORNIA RIVERSIDE · PI Sean Cutler · 2023 to 2026
$1.7M
Glycolipid biointerface to decipher disease-implicated ganglioside-protein interactionsR01GM148803 · NIGMS · UNIVERSITY OF CALIFORNIA RIVERSIDE · PI QUAN JASON CHENG · 2023 to 2026
$1.5M
Rational PROTAC design enabled by integrated in silico molecular modeling and in vitro biomimetic affinity assessmentR21GM151651 · NIGMS · UNIVERSITY OF CALIFORNIA RIVERSIDE · PI CHENG, QUAN JASON · 2023 to 2024
$414k
NIGMS NIH HHS R01 GM148803NIGMS NIH HHS R01 GM151616NIGMS NIH HHS R21 GM151651
6 · The paper itself

Abstract

Label-free imaging techniques are powerful tools for characterizing biomolecular interactions, offering important advantages over traditional fluorescence-based imaging methods. Among these approaches, surface plasmon resonance imaging (SPRi) has emerged as a particularly versatile and enabling platform owing to its simple experimental configuration, rapid data acquisition, and high imaging sensitivity. A related variant, surface plasmon resonance microscopy (SPRM), further extends the capabilities of SPR-based sensing by providing enhanced spatial resolution and expanded sensing depth, allowing interrogation of interactions at the single-particle and single-event level. The combined versatility of SPRi and SPRM has supported a wide range of applications, including molecular recognition, quantitative interaction analysis, extracellular vesicle detection, and nanobubble characterization. More recently, the integration of machine-learning approaches into both instrumental development and postacquisition data analysis has significantly enhanced the ability of SPR-based imaging techniques to address complex sample environments, enabling multiplexed, high-throughput, and information-rich measurements. This review provides a comprehensive overview of recent advances in SPRi and SPRM, with a particular emphasis on innovative methodological developments and emerging applications within the broader SPR research landscape. Key topics include advances in optical configuration, machine-learning-assisted analysis, nanoparticle and nanoscale object characterization, and the development of sensing platforms for biomarker assessment.

Indexed as

biomarker detectionbiosensorlabel-free imagingmachine learningmolecular interactionmultiplexed detectionnanoparticlessurface plasmon resonance imagingsurface plasmon resonance microscopy

Identifiers

PMID42529483
PMCPMC13417526

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.