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用于通过DNA折纸术上DNA链长度控制金二聚体间距的新型分析工具。

Novel analysis tool for the distance of gold dimers controlled by the DNA strand length on the DNA origami.

作者信息

Guckel Jannik, Liu Zhe, Wang Zunhao, Lalkens Birka, Etzkorn Markus, Park Daesung

机构信息

Physikalisch-Technische Bundesanstalt, Braunschweig, Germany.

Laboratory for Emerging Nanometrology (LENA), Braunschweig, Germany.

出版信息

J Microsc. 2025 Feb;297(2):215-226. doi: 10.1111/jmi.13371. Epub 2024 Nov 15.

Abstract

Metallic nanoparticle dimers have been used to enhance the excitation rate of single-quantum emitters. The interparticle distance (d) of the dimers has a crucial influence on the signal enhancement. Therefore, precise control of d is desired for optimal performance. However, statistical analysis of d has been often restricted to a small number of dimers due to the lack of reliable automatic software tools. For this reason, we developed a novel analysis tool for automatic dimer analysis. Our approach combines particle detection by circle Hough transformation (CHT) with custom classification routines optimised for distinct types of particles. We applied our tool to scanning electron microscopy (SEM) images and achieved great agreement in dimer detection, reaching an agreement of around 97% between automatic analysis and manual inspection for more than 3000 metallic nanoparticle dimers on DNA origami controlled by a combination of multiple DNA strands. Our study revealed the effects of the strand length (L) on the distribution of d. Based on geometric consideration, we expected a strong correlation between L and the standard deviation (σ) of d. We could verify this correlation by characterising four dimer designs with different L while analysing more than 1000 dimers per specimen.

摘要

金属纳米颗粒二聚体已被用于提高单量子发射体的激发速率。二聚体的粒子间距离(d)对信号增强有着至关重要的影响。因此,为了实现最佳性能,需要精确控制d。然而,由于缺乏可靠的自动软件工具,对d的统计分析往往局限于少数二聚体。为此,我们开发了一种用于自动二聚体分析的新型分析工具。我们的方法将通过圆形霍夫变换(CHT)进行粒子检测与针对不同类型粒子优化的定制分类程序相结合。我们将我们的工具应用于扫描电子显微镜(SEM)图像,并在二聚体检测方面取得了高度一致,对于由多条DNA链组合控制的DNA折纸结构上的3000多个金属纳米颗粒二聚体,自动分析与人工检查之间的一致性达到了约97%。我们的研究揭示了链长(L)对d分布的影响。基于几何考虑,我们预期L与d的标准差(σ)之间存在强相关性。通过对四种具有不同L的二聚体设计进行表征,同时对每个样本分析1000多个二聚体,我们能够验证这种相关性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d5d4/11733842/7751cce85c15/JMI-297-215-g005.jpg

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