ReviewChemical & biomedical imaging2026
Surface Plasmon Resonance Imaging and Microscopy Modalities for Information-Rich, Label-Free Analysis of Biomolecular Interactions and Disease Biomarkers.
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.
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.
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.
Who cites it
1 citing paper in PubMed.
- Strategies for Multiplexing Plasmonic Biosensing.Sensors (Basel, Switzerland) · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
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
Identifiers
What OpenQuestion holds
Registered trials
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.