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Image Analysis of Structured Surfaces for Quantitative Topographical Characterization
ChemRxiv Pub Date : 2020-07-30 , DOI: 10.26434/chemrxiv.12736289.v1
Taylor C. Stimpson , Devan L. Wagner , Emily D. Cranston , Jose Moran-Mirabal

In the fields of functional materials, interfacial chemistry, and microscale devices, surface structuring provides an opportunity to engineer materials with unique tunable properties such as wettability, anti-fouling, crack propagation, and specific surface area. Often, the resulting properties are related to the feature sizes of the structured surfaces and therefore, it is necessary to accurately quantify these topographies. This work presents a step-by-step description of a method for the quantification of the size of periodic structures using 2D discrete Fourier Transform analysis coupled with data filtering techniques to optimize feature size extraction and reduce user bias and error. The method is validated using artificial images of periodic patterns as well as scanning electron microscopy images of gold films that are structured on different substrates. While image Fourier Transform has been used previously and is a built-in feature in some commercial and open-source image analysis software, this work details image pre-processing and feature extraction steps, and how to best apply them, which has not been described in detail elsewhere. This method can analyze engineered or natural periodic topographies (e.g., wrinkles) to enable the design of patterned materials for applications including photovoltaics, biosensors, tissue engineering, flexible electronics, and thin film metrology.



中文翻译:

用于定量形貌表征的结构化表面的图像分析

在功能材料,界面化学和微型设备领域,表面结构化提供了机会来设计具有独特的可调谐特性(例如,润湿性,防污,裂纹扩展和比表面积)的材料。通常,所得的特性与结构化表面的特征尺寸有关,因此,有必要精确地量化这些形貌。这项工作逐步描述了使用2D离散傅里叶变换分析结合数据过滤技术来优化特征尺寸提取并减少用户偏见和错误的量化周期性结构尺寸的方法。使用周期性图案的人工图像以及在不同基板上构造的金膜的扫描电子显微镜图像验证了该方法。尽管图像Fourier Transform以前已经使用过,并且是某些商业和开源图像分析软件中的内置功能,但该工作详细介绍了图像预处理和特征提取步骤以及如何最好地应用它们,但未进行描述。在其他地方详细介绍。该方法可以分析工程或自然的周期性地形(例如皱纹),以使图案化材料的设计能够用于光伏,生物传感器,组织工程,柔性电子和薄膜计量学等应用。尽管图像Fourier Transform以前已经使用过,并且是某些商业和开源图像分析软件中的内置功能,但该工作详细介绍了图像预处理和特征提取步骤以及如何最好地应用它们,但未进行描述。在其他地方详细介绍。该方法可以分析工程或自然的周期性地形(例如皱纹),以使图案化材料的设计能够用于光伏,生物传感器,组织工程,柔性电子和薄膜计量学等应用。尽管图像Fourier Transform以前已经使用过,并且是某些商业和开源图像分析软件中的内置功能,但该工作详细介绍了图像预处理和特征提取步骤以及如何最好地应用它们,但未进行描述。在其他地方详细介绍。该方法可以分析工程或自然的周期性地形(例如皱纹),以使图案化材料的设计能够用于光伏,生物传感器,组织工程,柔性电子和薄膜计量学等应用。

更新日期:2020-07-30
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