非均匀光束亮度强度转换器(IBBIC)作为阴极发光显微镜研究和图像预处理的支持软件

IF 0.4 Q4 GEOSCIENCES, MULTIDISCIPLINARY Rendiconti Online Societa Geologica Italiana Pub Date : 2023-11-01 DOI:10.3301/rol.2023.43
Francesco Volpintesta, Giovanni Volpintesta
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引用次数: 0

摘要

随着时间的推移,阴极发光(CL)在科学和技术上获得了越来越大的兴趣。CL显微镜在地质研究中有一个最常见的应用,然而,这种分析受到亮度值的影响,而不是取决于被分析样品的CL响应,而是取决于当前采用的仪器的性质。在这项工作中,已经开发了一个软件,IBBIC,它能够转换非均匀分布光束的亮度强度来模拟所研究材料在理论上最佳条件下的响应。此外,它可以减少一种特定的噪声的贡献,这种噪声显著地体现了与任何实际发光效应无关的亮度值。此外,它还配备了能够支持操作员选择适当参数进行图像处理的工具,以最大限度地减少伪影,否则将要求高,费力且难以应用于大量图像。为了评估IBBIC软件,在文献提供的412张图像上运行,这些图像是在广泛不同的条件下使用CL显微镜获得的。结果表明,它可以应用于显微镜CL研究,因为它不会显著扭曲被分析样品的CL响应,但它可以研究图像部分之间的相关性,这些图像部分彼此相距甚远。该软件可能对CL研究和其他类似的容易出错的仪器非常有帮助,因为这样的图像预处理可以为迄今为止具有挑战性和不广泛的定量/半定量图像分析铺平道路。
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Inhomogeneous Beam Brightness Intensity Converter (IBBIC) as support software for cathodoluminescence microscopy studies and images pre-processing
Cathodoluminescence (CL) has gained over time a growing interest in science and technology. CL microscopy has one of its most common applications in geological research, however, such analysis is affected by brightness values not dependent on the CL response of analysed samples, but on the nature of instrumentation currently adopted.In this work a software has been developed, IBBIC, which is able to convert the brightness intensity of inhomogeneously distributed beams to simulate the response that the investigated materials would have had under the theoretically optimal conditions. Furthermore, it can reduce the contribution of a particular kind of noise, which remarkably manifests values of brightness unrelated to any actual luminescence effect. Moreover, it is equipped with tools capable of supporting the operator in choosing the appropriate parameters for image processing minimizing artefacts, which would otherwise be demanding, laborious and difficult to apply on a large collection of images.To assess the IBBIC software, it was run on 412 images provided by literature and acquired using CL microscopy in widely varying conditions. The results show that it can be applied to microscopy CL studies, as it does not significantly distort the CL response of the analysed samples, but it makes it possible to study correlations between image portions, which are far apart from each other.The software may be extremely helpful in CL studies and other similarly error- prone instruments, as such images pre-processing can pave the way for hitherto challenging and not widespread quantitative/semi-quantitative image analysis.
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来源期刊
Rendiconti Online Societa Geologica Italiana
Rendiconti Online Societa Geologica Italiana GEOSCIENCES, MULTIDISCIPLINARY-
CiteScore
0.80
自引率
0.00%
发文量
19
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