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Resolution Enhancement and Background Suppression in Optical Super‐Resolution Imaging for Biological Applications
Laser & Photonics Reviews ( IF 9.8 ) Pub Date : 2020-11-22 , DOI: 10.1002/lpor.201900084
Chuankang Li 1 , Vannhu Le 1, 2 , Xiaona Wang 1 , Xiang Hao 1 , Xu Liu 1, 3 , Cuifang Kuang 1, 3, 4
Affiliation  

For decades, the spatial resolution of conventional far‐field optical imaging has been constrained due to the diffraction limit. The emergence of optical super‐resolution imaging has facilitated biological research in the nanoscale regime. However, the existing super‐resolution modalities are not feasible in many biological applications due to weaknesses, like complex implementation and high cost. Recently, various newly proposed techniques are advantageous in the enhancement of the system resolution, background suppression, and improvement of the hardware complexity so that the above‐mentioned issues could be addressed. Most of these techniques entail the modification of factors, like hardware, light path, fluorescent probe, and algorithm, based on conventional imaging systems. Particularly, subtraction technique is an easily implemented, cost‐effective, and flexible imaging tool which has been applied in widespread utilizations. In this review, the principles, characteristics, advances, and biological applications of these techniques are highlighted in optical super‐resolution modalities.

中文翻译:

生物应用光学超分辨率成像中的分辨率增强和背景抑制

几十年来,由于衍射极限,传统远场光学成像的空间分辨率一直受到限制。光学超分辨率成像的出现促进了纳米尺度领域的生物学研究。然而,由于诸如复杂的实施和高成本之类的弱点,现有的超分辨率模式在许多生物学应用中都不可行。近来,各种新提出的技术在增强系统分辨率,背景抑制和硬件复杂度的改善方面是有利的,从而可以解决上述问题。这些技术中的大多数都需要基于常规成像系统对因素进行修改,例如硬件,光路,荧光探针和算法。特别是,减法技术很容易实现,具有成本效益且灵活的成像工具,已被广泛使用。在这篇综述中,这些技术的原理,特性,进展和生物学应用在光学超分辨率模式中得到了强调。
更新日期:2021-01-08
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