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Classifying the shape of colloidal nanocrystals by complex fourier descriptor analysis

机译：通过复杂傅里叶描述子分析对胶体纳米晶体的形状进行分类

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摘要

The optical, electrical, magnetic, and catalytic properties of colloidal nanocrystals are intimately tied to their form, in particular their physical size and shape. Synthetic techniques have been developed to produce metallic and semiconducting nanomaterials with well-controlled forms; however, characterization tools for describing shape have remained limited to small samples and lack the quantitative rigor necessary for a universal classification scheme. Here complex Fourier descriptors are shown to be a quantitative and high-throughput approach for classifying the shape of colloidal nanocrystals. Large, monodisperse, and polydisperse ensembles of CdSe nanocrystals are characterized with respect to shape and categorized as circles, triangles, squares, rods, and pentagonal or hexagonal platelets. These results suggest that classification of shape by Fourier descriptor analysis may in the near future be a powerful tool for continuous monitoring of synthesis, purification, or packaging/integration processes during industrialscale production of nanomaterials.
机译：胶体纳米晶体的光学，电，磁和催化性能与其形式，特别是其物理尺寸和形状密切相关。已经开发出合成技术来生产具有良好控制形式的金属和半导体纳米材料。然而，用于描述形状的表征工具仍然仅限于小样本，并且缺乏通用分类方案所必需的定量严格性。在这里，复杂的傅立叶描述子被证明是定量和高通量的方法，用于对胶体纳米晶体的形状进行分类。 CdSe纳米晶体的大的，单分散和多分散的集合在形状上具有特征，并分类为圆形，三角形，正方形，棒状和五边形或六边形薄片。这些结果表明，通过傅里叶描述符分析对形状进行分类可能在不久的将来成为在纳米材料工业规模生产过程中连续监测合成，纯化或包装/整合过程的强大工具。

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