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Updated: May 15, 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

Quantitative LSPR imaging for biosensing with single nanostructure resolution.

Marc P Raphael¹, Joseph A Christodoulides, James B Delehanty

¹Naval Research Laboratory, Washington DC, USA. marc.raphael@nrl.navy.mil

Biophysical Journal

|January 22, 2013

Summary

This summary is machine-generated.

This study introduces a new localized surface plasmon resonance (LSPR) imaging technique for calibrating nanoscale sensors. This method enables quantitative analysis of protein secretions from live cells with high sensitivity and temporal resolution.

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Area of Science:

Nanotechnology
Biophysics
Analytical Chemistry

Background:

Localized surface plasmon resonance (LSPR) imaging offers potential for mapping analyte concentration variations from live cells.
A key challenge in LSPR applications is the calibration of nanoscale sensors for quantitative analysis.

Purpose of the Study:

To develop and demonstrate a novel LSPR imaging and analysis technique for parallel calibration of numerous individual gold nanostructures.
To enable quantitative analysis of molecular and cellular processes using calibrated LSPR sensors.

Main Methods:

Development of a new LSPR imaging and analysis technique for calibrating multiple gold nanostructures simultaneously.
Application of the calibrated array for quantitative LSPR imaging of antibodies secreted by hybridoma cells.

Main Results:

Successful parallel calibration of hundreds of individual gold nanostructures.
Mapping of fractional occupancy of surface-bound receptors with nanomolar sensitivity and 225 ms temporal resolution.
Quantitative LSPR imaging of anti-c-myc antibodies from cell culture without purification.

Conclusions:

The new LSPR imaging technique overcomes calibration challenges for nanoscale sensors.
This method facilitates quantitative spatio-temporal mapping of biological analytes at the nanoscale.
The technique demonstrates significant potential for applications in molecular and cell biology research.