Issue 8, 2022

Sizing individual dielectric nanoparticles with quantitative differential interference contrast microscopy

Abstract

We report a method to measure the size of single dielectric nanoparticles with high accuracy and precision using quantitative differential interference contrast (DIC) microscopy. Dielectric nanoparticles are detected optically by the conversion of the optical phase change into an intensity change using DIC. Phase images of individual nanoparticles were retrieved from DIC by Wiener filtering, and a quantitative methodology to extract nanoparticle sizes was developed. Using polystyrene beads of 100 nm radius as size standard, we show that the method determines this radius within a few nm accuracy. The smallest detectable polystyrene bead is limited by background and shot-noise, which depend on acquisition and analysis parameters, including the objective numerical aperture, the DIC phase offset, and the refractive index contrast between particles and their surrounding. Measurements on small beads of 15 nm nominal radius are shown, and a sensitivity limit potentially reaching down to 1.8 nm radius was inferred. As application example, individual nanodiamonds with nominal sizes below 50 nm were measured, and were found to have a nearly exponential size distribution with 28 nm mean value. Considering the importance of dielectric nanoparticles in many fields, from naturally occurring virions to polluting nanoplastics, the proposed method could offer a powerful quantitative tool for nanoparticle analysis, combining accuracy, sensitivity and high-throughput with widely available and easy-to-use DIC microscopy.

Graphical abstract: Sizing individual dielectric nanoparticles with quantitative differential interference contrast microscopy

Supplementary files

Article information

Article type
Paper
Submitted
05 Nov 2021
Accepted
14 Feb 2022
First published
18 Mar 2022
This article is Open Access
Creative Commons BY license

Analyst, 2022,147, 1567-1580

Sizing individual dielectric nanoparticles with quantitative differential interference contrast microscopy

S. Hamilton, D. Regan, L. Payne, W. Langbein and P. Borri, Analyst, 2022, 147, 1567 DOI: 10.1039/D1AN02009A

This article is licensed under a Creative Commons Attribution 3.0 Unported Licence. You can use material from this article in other publications without requesting further permissions from the RSC, provided that the correct acknowledgement is given.

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