Plasmonic imaging of living pancreatic beta-cell networks

We present a novel plasmonic imaging technique for real-time, label-free tracking of bioelectrical interactions in live pancreatic beta-cell networks. Surface plasmon resonance microscopy (SPRM) is utilized to reveal synchronized glucose-induced intensity oscillations that are suppressed by calcium channel blockers. These oscillations are observed at the subcellular scale with a resolution of 1 μm. The technique can also uncover the extracellular spread of these oscillations beyond the cells. We further combine SPRM with network analysis to quantify coordinated electrical activity within the living cell network using both amplitude and phase-based metrics. Our results demonstrate a new method for studying electrical communication in pancreatic beta-cells, which could be crucial for understanding dysregulation in diabetes and advancing treatment development. This technique holds promise for investigating electrical connectivity in biological cell networks with applications in neuroscience, cardiac science, and bioelectricity in cancer, microbiology, development and regeneration.

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Publication Details

Journal
Scientific Reports
Published
2026-01-03
DOI
https://doi.org/10.1038/s41598-025-34094-0
Primary Topic
Microfluidic and Bio-sensing Technologies
Type
article
Field-Weighted Citation Impact
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article

Plasmonic imaging of living pancreatic beta-cell networks

Rosalia Moreddu, Michael G. Somekh, Sidahmed Abayzeed, Kerry Setchfield et al.
Scientific Reports
Microfluidic and Bio-sensing Technologies
article

Plasmonic imaging of living pancreatic beta-cell networks

Rosalia Moreddu, Michael G. Somekh, Sidahmed Abayzeed, Kerry Setchfield, Paul Smith, Catarina Franco Jones, Karen Regules Medel, Oscar Barajas Gonzalez, Kyle C. A. Wedgwood, Daniel Galvis
article en

Abstract

We present a novel plasmonic imaging technique for real-time, label-free tracking of bioelectrical interactions in live pancreatic beta-cell networks. Surface plasmon resonance microscopy (SPRM) is utilized to reveal synchronized glucose-induced intensity oscillations that are suppressed by calcium channel blockers. These oscillations are observed at the subcellular scale with a resolution of 1 μm. The technique can also uncover the extracellular spread of these oscillations beyond the cells. We further combine SPRM with network analysis to quantify coordinated electrical activity within the living cell network using both amplitude and phase-based metrics. Our results demonstrate a new method for studying electrical communication in pancreatic beta-cells, which could be crucial for understanding dysregulation in diabetes and advancing treatment development. This technique holds promise for investigating electrical connectivity in biological cell networks with applications in neuroscience, cardiac science, and bioelectricity in cancer, microbiology, development and regeneration.

Scientific ReportsVol. 16(1)
Engineering and Physical Sciences Research Council (GB), University of Nottingham (GB), University of Exeter (GB), Birmingham Research Park (GB), University of Southampton (GB)
Good health and well-being
Openalex Percentile: Top 98%
Microfluidic and Bio-sensing Technologies
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