High-Throughput All-Optical Determination of Nanorod Size and Orientation

被引:1
|
作者
O'Dell, Zachary J. [1 ]
Knobeloch, Megan [2 ]
Skrabalak, Sara E. [2 ]
Willets, Katherine A. [1 ]
机构
[1] Temple Univ, Dept Chem, Philadelphia, PA 19122 USA
[2] Indiana Univ Bloomington, Dept Chem, Bloomington, IN 47405 USA
基金
美国国家科学基金会;
关键词
single-particle; plasmonic nanoparticles; dark-fieldmicroscopy; polarization-resolved spectroscopy; RGB colorimetric analysis; image-based machine learning; DARK-FIELD MICROSCOPY; SINGLE PLASMONIC NANOPARTICLES; GOLD NANORODS; SPECTROSCOPY; RESONANCE; SHAPE;
D O I
10.1021/acs.nanolett.4c01261
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
As a single-particle characterization technique, optical microscopy has transformed our understanding of structure-function relationships of plasmonic nanoparticles, but the need for ex-situ-correlated electron microscopy to obtain structural information handicaps an otherwise exceptional high-throughput technique. Here, we present an all-optical alternative to electron microscopy to accurately and quickly extract structural information about single gold nanorods (Au NRs) using calcite-assisted localization and kinetics (CLocK) microscopy. Color CLocK images of single Au NRs allow scattering from the longitudinal and transverse plasmon modes to be imaged simultaneously, encoding spectral data in CLocK images that can then be extracted to obtain Au NR size and orientation. Moreover, through the use of convolutional neural networks, Au NR length, width, and aspect ratio can be predicted directly from color CLocK images within similar to 10% of the true value measured by electron microscopy.
引用
收藏
页码:7269 / 7275
页数:7
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