Year: 2025
Type: review
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.
Source: Light Science & Applications
Authors: Isabel Barth, Hakho Lee
Language: English
Subfield: Biomedical Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $4,190
Awards: G167759011, G1922180006, Composing CODAs to cervical cancer screening through an integrated CRISPR and fluorescent nucleic acid approach, G2938450443, G4484093023, Imaging and Liquid Biopsy for Glioma Diagnosis and Treatment Monitoring, G4842032835, G5675554757, 3D Fourier Imaging System for High Throughput Analyses of Cancer Organoids, High throughput nanoplasmonic exosome testing (NEXT) of immunotherapies in bladder cancer, G8029056215, High-throughput Phenotyping of iPSC-derived Airway Epithelium by Multiscale Machine Learning Microscopy, Expanding early cancer detection with high throughput OCEANA - Ovarian Cancer Exosome Analysis with Nanoplasmonic Array
OpenAlex ID: W4409858885