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Related Experiment Video

Updated: Apr 17, 2026

Probing Structural and Dynamic Properties of Trafficking Subcellular Nanostructures by Spatiotemporal Fluctuation Spectroscopy

Probing Structural and Dynamic Properties of Trafficking Subcellular Nanostructures by Spatiotemporal Fluctuation Spectroscopy

Published on: August 16, 2021

Cellular imaging using temporally flickering nanoparticles.

Tali Ilovitsh¹, Yossef Danan¹, Rinat Meir¹

¹1] Faculty of Engineering, Bar Ilan University, Ramat-Gan 5290002, Israel [2] The Bar-Ilan Institute of Nanotechnology &Advanced Materials, Bar Ilan University, Ramat-Gan 5290002, Israel.

Scientific Reports

|February 5, 2015

Summary

This summary is machine-generated.

Researchers improved signal-to-noise ratio (SNR) for gold nanoparticle imaging by analyzing light flickering. This technique enhances cellular imaging in noisy environments, making faint signals detectable.

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Biomolecular Imaging of Cellular Uptake of Nanoparticles using Multimodal Nonlinear Optical Microscopy

Biomolecular Imaging of Cellular Uptake of Nanoparticles using Multimodal Nonlinear Optical Microscopy

Published on: May 16, 2022

Area of Science:

Nanotechnology
Biomedical Imaging
Optical Physics

Background:

Gold nanoparticles (AuNPs) are valuable contrast agents for cellular imaging due to their surface plasmon resonance (SPR) properties.
Current AuNP imaging methods often yield poor signal-to-noise ratio (SNR) because of high shot noise from low photon counts and significant background noise.

Purpose of the Study:

To develop an effective method for enhancing the SNR in gold nanoparticle-based cellular imaging.
To improve the detection of weak signals that are otherwise indistinguishable in noisy imaging environments.

Main Methods:

Utilized the surface plasmon resonance effect of gold nanoparticles for cellular labeling.
Excited temporal flickering in the light scattered from AuNP-labeled biological samples.
Performed temporal spectral analysis on acquired spatial images, isolating the signal at the modulation frequency using lock-in amplification to separate it from background noise.

Main Results:

Demonstrated a significant improvement in the signal-to-noise ratio (SNR) for gold nanoparticle imaging.
Successfully separated the desired signal from widespread spectral noise, even when the signal was initially indistinguishable.
The lock-in amplification technique effectively filtered out background noise by focusing on the specific modulation frequency of the scattered light.

Conclusions:

The proposed method, based on analyzing temporal light flickering and employing lock-in amplification, effectively enhances SNR in gold nanoparticle imaging.
This technique offers a robust solution for improving the sensitivity and reliability of cellular imaging applications utilizing gold nanoparticles.
The developed approach holds promise for advancing various fields requiring high-resolution imaging of biological samples labeled with nanoparticles.