发光碳纳米粒子在微米和纳米尺度结构非均质物体光学诊断中的应用

IF 1 Q4 OPTICS
O. Angelsky, A. Bekshaev, C. Zenkova, D. Ivanskyi, P. Maksymyak, V. Kryvetsky, Zhebo Chen
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引用次数: 0

摘要

本文简要回顾了近期与使用发光碳纳米粒子研究结构不均匀光场有关的工作,这些光场携带着对不均匀材料物体的诊断信息。分析了获得研究和诊断任务所需的具有各种特殊光学和电学特性的纳米粒子的方法。研究表明,悬浮在光场中的纳米粒子在光的诱导下运动,可以检测和定位强度最小点和相位奇异点。光驱动纳米粒子可以作为物体表面不均匀性的高灵敏度探针,实现非接触式原子力轮廓测量。在许多情况下,使用纳米粒子可以规避经典波光学概念(瑞利极限)对光学系统空间分辨率的限制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Application of the Luminescent Carbon Nanoparticles for Optical Diagnostics of Structure-Inhomogeneous Objects at the Micro- and Nanoscales

Application of the Luminescent Carbon Nanoparticles for Optical Diagnostics of Structure-Inhomogeneous Objects at the Micro- and Nanoscales

Application of the Luminescent Carbon Nanoparticles for Optical Diagnostics of Structure-Inhomogeneous Objects at the Micro- and Nanoscales

The paper offers a short review of the recent works associated with the use of luminescent carbon nanoparticles for the studies of structurally inhomogeneous optical fields carrying a diagnostic information on inhomogeneous material objects. Methods for obtaining nanoparticles with various specially assigned optical and electrical properties, necessary for research and diagnostic tasks, are analyzed. It is shown that the light-induced motion of nanoparticles suspended in the optical field enable detection and localization of the points of intensity minima and phase singularities. Optically-driven nanoparticles can serve as highly-sensitive probes of the object surface inhomogeneities, realizing a contactless version of the atomic-force profilometry. In many cases, the use of nanoparticles makes it possible to circumvent the spatial-resolution limitations of optical systems dictated by the classical wave-optics concepts (Rayleigh limit).

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来源期刊
CiteScore
1.50
自引率
11.10%
发文量
25
期刊介绍: The journal covers a wide range of issues in information optics such as optical memory, mechanisms for optical data recording and processing, photosensitive materials, optical, optoelectronic and holographic nanostructures, and many other related topics. Papers on memory systems using holographic and biological structures and concepts of brain operation are also included. The journal pays particular attention to research in the field of neural net systems that may lead to a new generation of computional technologies by endowing them with intelligence.
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