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Meta-surface plasmon resonance microscopy for sensitive, high-throughput, and long-term label-free analysis of cell adhesion dynamics
Meta-surface plasmon resonance microscopy for sensitive, high-throughput, and long-term label-free analysis of cell adhesion dynamics
Mingqian Chen
(Department of Nano Biosensing and Artificial Intelligence, College of Life Science and Technology, Huazhong University of Science and Technology)
Wen Li
(Department of Nano Biosensing and Artificial Intelligence, College of Life Science and Technology, Huazhong University of Science and Technology)
Taoyu Hu
(Department of Nano Biosensing and Artificial Intelligence, College of Life Science and Technology, Huazhong University of Science and Technology)
Jiaxiang Chang
(Department of Nano Biosensing and Artificial Intelligence, College of Life Science and Technology, Huazhong University of Science and Technology)
Youqian Chen
(Department of Nano Biosensing and Artificial Intelligence, College of Life Science and Technology, Huazhong University of Science and Technology)
Yihui Yang
(Department of Nano Biosensing and Artificial Intelligence, College of Life Science and Technology, Huazhong University of Science and Technology)
Gang Logan Liu
(Department of Nano Biosensing and Artificial Intelligence, College of Life Science and Technology, Huazhong University of Science and Technology)
Wenjun Hu
(Department of Nano Biosensing and Artificial Intelligence, College of Life Science and Technology, Huazhong University of Science and Technology)
Journal: Journal of Nanobiotechnology
•
• BMC
• ISSN: 1477-3155
Abstract
Abstract Quantitative, label-free monitoring of dynamic cell adhesion remains challenging. Meta-Surface Plasmon Resonance Microscopy (Meta-SPRM) is a novel platform integrating bright-field microscopy with engineered Meta-SPR nanocup arrays. This system simultaneously acquires bright-field images and Meta-SPRM signals, enabling their computational separation and co-analysis to provide multifaceted insights into cell-substrate interactions. Meta-SPRM offers sensitive, high-throughput, and long-term label-free quantification of cell adhesion strength and distribution. It captures dynamic processes like cell spreading and migration at micrometer lateral resolution. Notably, Meta-SPRM signals spatially correlate with key focal adhesion proteins (Integrin-β1, Vinculin), and an intrinsic intracellular signal polarity correlates with cell migration direction. Meta-SPRM provides a powerful, label-free tool for dynamic cell adhesion studies, overcoming limitations of traditional methods. Graphical abstract