Issue 19, 2022

Hyperspectral dark field optical microscopy for orientational imaging of a single plasmonic nanocube using a physics-based learning method

Abstract

Rotational dynamics at the molecular level could provide additional data regarding protein diffusion and cytoskeleton formation at the cellular level. Due to the isotropic emission pattern of fluorescence molecules, it is challenging to extract rotational information from them during imaging. Metal nanoparticles show a polarization-dependent response and could be used for sensing rotational motion. Nanoparticles as an orientation sensing probe offer bio-compatibility and robustness against photo-blinking and photo-bleaching compared to conventional fluorescent molecules. Previously, asymmetric geometrical structures such as nanorods have been used for orientational imaging. Here, we show orientational imaging of symmetric geometrical structures such as 100 nm isolated silver nanocubes by coupling a hyperspectral detector and a focused ion beam (FIB)-fabricated correlating substrate. More than 100 nanocubes are analyzed to confirm spectral shifts in the scattering spectra due to variations in the orientation of the nanocubes with respect to the incoming light. Results are further validated using finite-difference time-domain simulations. Our observations suggest a novel strategy for high-throughput orientation imaging of nanoparticles.

Graphical abstract: Hyperspectral dark field optical microscopy for orientational imaging of a single plasmonic nanocube using a physics-based learning method

Supplementary files

Article information

Article type
Paper
Submitted
20 Jul 2022
Accepted
23 Aug 2022
First published
24 Aug 2022
This article is Open Access
Creative Commons BY-NC license

Nanoscale Adv., 2022,4, 4094-4101

Hyperspectral dark field optical microscopy for orientational imaging of a single plasmonic nanocube using a physics-based learning method

N. Mehta, A. Mahigir, G. Veronis and M. R. Gartia, Nanoscale Adv., 2022, 4, 4094 DOI: 10.1039/D2NA00469K

This article is licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported Licence. You can use material from this article in other publications, without requesting further permission from the RSC, provided that the correct acknowledgement is given and it is not used for commercial purposes.

To request permission to reproduce material from this article in a commercial publication, please go to the Copyright Clearance Center request page.

If you are an author contributing to an RSC publication, you do not need to request permission provided correct acknowledgement is given.

If you are the author of this article, you do not need to request permission to reproduce figures and diagrams provided correct acknowledgement is given. If you want to reproduce the whole article in a third-party commercial publication (excluding your thesis/dissertation for which permission is not required) please go to the Copyright Clearance Center request page.

Read more about how to correctly acknowledge RSC content.

Social activity

Spotlight

Advertisements