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用于纳米级结构表征的空间频率方法的光谱编码

Spectral encoding of spatial frequency approach for characterization of nanoscale structures.

作者信息

Alexandrov Sergey A, Uttam Shikhar, Bista Rajan K, Staton Kevin, Liu Yang

机构信息

Biomedical Optical Imaging Laboratory (BOIL), Department of Medicine and Department of Bioengineering, University of Pittsburgh, Pittsburgh, Pennsylvania 15232, USA.

出版信息

Appl Phys Lett. 2012 Jul 16;101(3):33702. doi: 10.1063/1.4737209. Epub 2012 Jul 17.

DOI:10.1063/1.4737209
PMID:22893731
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3411560/
Abstract

An approach to acquire axial structural information at nanoscale is demonstrated. It is based on spectral encoding of spatial frequency principle to reconstruct the structural information about the axial profile of the three-dimensional (3D) spatial frequency for each image point. This approach overcomes the fundamental limitations of current optical techniques and provides nanoscale accuracy and sensitivity in characterizing axial structures. Numerical simulation and experimental results are presented.

摘要

展示了一种在纳米尺度获取轴向结构信息的方法。它基于空间频率原理的光谱编码来重建每个图像点的三维(3D)空间频率轴向轮廓的结构信息。这种方法克服了当前光学技术的基本局限性,并在表征轴向结构方面提供了纳米级的精度和灵敏度。给出了数值模拟和实验结果。