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Deep subwavelength nanometric image reconstruction using Fourier domain optical normalization

机译:使用傅里叶域光学归一化的深亚波长纳米图像重建

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摘要

Quantitative optical measurements of deep subwavelength, three-dimensional (3D), nanometric structures with sensitivity to sub-nanometer details address a ubiquitous measurement challenge. A Fourier domain normalization approach is used in the Fourier optical imaging code to simulate the full 3D scattered light field of nominally 15 nm-sized structures, accurately replicating the light field as a function of the focus position. Using the full 3D light field, nanometer scale details such as a 2 nm thin conformal oxide and nanometer topography are rigorously fitted for features less than one-thirtieth of the wavelength in size. The densely packed structures are positioned nearly an order of magnitude closer than the conventional Rayleigh resolution limit and can be measured with sub-nanometer parametric uncertainties. This approach enables a practical measurement sensitivity to size variations of only a few atoms in size using a high-throughput optical configuration with broad application in measuring nanometric structures and nanoelectronic devices.
机译:对亚纳米细节敏感的深亚波长三维(3D)纳米结构的定量光学测量解决了无处不在的测量挑战。在傅立叶光学成像代码中使用了傅立叶域归一化方法来模拟标称15 nm大小的结构的完整3D散射光场,根据焦点位置准确复制光场。使用完整的3D光场,可以精确地装配纳米级细节,例如2 nm薄的保形氧化物和纳米形貌,以用于尺寸小于波长三分之一的特征。密集堆积的结构比常规瑞利分辨率极限近一个数量级,可以用亚纳米参数不确定性进行测量。这种方法使用高通量光学配置,可实现对仅有几个原子尺寸变化的实用测量灵敏度,并广泛应用于纳米结构和纳米电子器件的测量中。

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