• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>RSC Advances >Towards defining new nano-descriptors: extracting morphological features from transmission electron microscopy images
【24h】

Towards defining new nano-descriptors: extracting morphological features from transmission electron microscopy images

机译：试图定义新的纳米描述符：从透射电子显微镜图像中提取形态特征

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Due to the important role of surface-related properties of NPs in their biological behavior, simple and fast methods that could precisely demonstrate accurate information about NPs' surface, structure and morphology are highly desirable. In this study a set of surface morphological nano-descriptors (size, shape, surface area, agglomeration state, curvature, corner count and aspect ratio) have been defined and extracted from Transmission Electron Microscopy (TEM) images of nanoparticles (NPs) by Digital Image Processing methods. The extracted data represent a thorough description of the surface and morphologies of NPs lying beyond their TEM images and can supply the data required for a nano-QSAR approach for predicting toxicity profiles of NPs. These nano-descriptors can provide a framework to further understand the mechanisms which govern the adverse effects of NPs in biological systems. Metallic nanostructures (gold, silver, palladium...) with different sizes (10 to 100 nm), shapes (cube, sphere, rod...) and characteristics were taken into account for which physicochemical indexes were reported. To the best of our knowledge, this is the first ever study that presents numerical values for properties such as shape and agglomeration state which significantly affect NPs behavior.
机译：由于NP的表面相关特性在其生物学行为中的重要作用，因此迫切需要简单，快速的方法来精确显示有关NP的表面，结构和形态的准确信息。在这项研究中，已经定义了一组表面形态纳米描述符（尺寸，形状，表面积，团聚状态，曲率，角点数和纵横比），并通过Digital从纳米粒子（NP）的透射电子显微镜（TEM）图像中提取。图像处理方法。提取的数据代表了超出TEM图像的NP的表面和形态的详尽描述，并且可以提供用于预测NP毒性特征的纳米QSAR方法所需的数据。这些纳米描述符可以提供一个框架，以进一步理解控制NP在生物系统中的不利影响的机制。考虑了具有不同大小（10至100 nm），形状（立方体，球形，棒状...）和特性的金属纳米结构（金，银，钯...），并据此报告了其理化指标。据我们所知，这是有史以来的第一项研究，其提供了数值（例如形状和团聚状态）的数值，这些数值会显着影响NP的行为。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号