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A Protocol for Real-time 3D Single Particle Tracking

A Protocol for Real-time 3D Single Particle Tracking

Published on: January 3, 2018

Simultaneous Electro-Optical Tracking for Nanoparticle Recognition and Counting.

Elena Angeli¹, Andrea Volpe¹, Paola Fanzio¹

¹Nanomed Laboratories, Dipartimento di Fisica, Università di Genova , 16146 Genova, Italy.

|July 31, 2015

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This study introduces a new method combining electrical and camera recordings for analyzing nanoparticle electrophoresis in nanochannels. This technique allows for accurate optical and electrical characterization of nanoparticles, with applications in biology and materials science.

Area of Science:

Nanotechnology
Physical Chemistry
Materials Science

Background:

Nanoparticle characterization is crucial for advancements in various scientific fields.
Electrophoresis is a common technique for studying charged particles in solution.
Nanochannel analysis presents unique challenges and opportunities for understanding particle behavior.

Purpose of the Study:

To present the first detailed experimental observation and analysis of nanoparticle electrophoresis through a nanochannel.
To validate optical particle tracking with electrical transport measurements.
To establish a combined strategy for nanoparticle characterization.

Main Methods:

Synchronous high-bandwidth electrical and camera recordings were employed.

Keywords:

Single particle tracking nanoparticle diffusion polymeric nanochannels resistive pulse sensing translocation dynamics

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Last Updated: Apr 6, 2026

A Protocol for Real-time 3D Single Particle Tracking

A Protocol for Real-time 3D Single Particle Tracking

Published on: January 3, 2018

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles

Published on: March 13, 2017

Optical Trapping of Nanoparticles

Optical Trapping of Nanoparticles

Published on: January 15, 2013

Nanoparticle diffusion coefficients were determined optically.

Electrical transport measurements were fitted to 1D Fokker-Planck diffusion-drift theory.

Main Results:

Optically determined particle diffusion coefficients showed agreement with values from electrical transport measurements.
The study successfully demonstrated combined optical recognition and electrical characterization of nanoparticles.
The methodology provides a robust approach for analyzing nanoparticle behavior in nanochannels.

Conclusions:

The combined optical and electrical tracking strategy is effective for nanoparticle analysis.
This technique offers a powerful tool for understanding nanoparticle dynamics in nanochannels.
The findings have broad implications for applications in biology and materials science.