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Updated: May 19, 2026

A Label-free Technique for the Spatio-temporal Imaging of Single Cell Secretions

A Label-free Technique for the Spatio-temporal Imaging of Single Cell Secretions

Published on: November 23, 2015

Mapping single-cell-substrate interactions by surface plasmon resonance microscopy.

Wei Wang¹, Shaopeng Wang, Qiang Liu

¹Center for Bioelectronics and Biosensors, Biodesign Institute, Arizona State University, Tempe, Arizona 85287, USA.

Langmuir : the ACS Journal of Surfaces and Colloids

|August 28, 2012

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Researchers imaged single-cell adhesion with subcellular resolution using osmotic pressure and surface plasmon resonance microscopy. This noninvasive method reveals dynamic cell-substrate interactions and movements.

Area of Science:

Cell biology
Biophysics
Microscopy

Background:

Understanding cell-substrate adhesion is crucial for cell migration and tissue engineering.
Current imaging techniques often lack the spatial or temporal resolution to capture dynamic adhesion events.
Mechanical stimulation is a key factor influencing cell behavior and adhesion.

Purpose of the Study:

To develop and demonstrate a noninvasive method for imaging cell-substrate adhesion with subcellular spatial resolution.
To investigate the local adhesion response of a single cell to controllable mechanical stimulation.
To enable continuous mapping of cell-substrate interactions and single-cell movements.

Main Methods:

Utilized high-resolution surface plasmon resonance (SPR) microscopy.

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Last Updated: May 19, 2026

A Label-free Technique for the Spatio-temporal Imaging of Single Cell Secretions

A Label-free Technique for the Spatio-temporal Imaging of Single Cell Secretions

Published on: November 23, 2015

Real Time Measurements of Membrane Protein:Receptor Interactions Using Surface Plasmon Resonance (SPR)

Real Time Measurements of Membrane Protein:Receptor Interactions Using Surface Plasmon Resonance (SPR)

Published on: November 29, 2014

Applied osmotic pressure as a controllable mechanical stimulation for the cell.

Developed a method to map local cell-substrate adhesion based on the cell's response.

Main Results:

Achieved subcellular spatial resolution in imaging cell-substrate adhesion.
Demonstrated the ability to map local adhesion dynamics in response to mechanical stress.
Successfully captured continuous cell-substrate interactions and single-cell movements.

Conclusions:

The developed SPR-based approach provides a powerful, noninvasive tool for studying cell-substrate adhesion.
This technique offers high spatial and temporal resolution for dynamic cell interaction studies.
The method has implications for understanding cell migration, mechanobiology, and developing new biomaterials.