edxia: Microstructure characterisation from quantified SEM-EDS hypermaps

Georget, Fabien; Wilson, William; Scrivener, Karen

doi:10.1016/j.cemconres.2020.106327

Cited by 132 publications

(63 citation statements)

References 34 publications

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“…Results in Figure 2C and D compare the superpixels extracted by DT watershed as well as by the popular SLIC algorithm 11 . Both algorithms can capture most of the details in the background image.…”

Section: Resultsmentioning

confidence: 99%

Workflow for high‐resolution phase segmentation of cement clinker from combined BSE image and EDX spectral data

Jiang

Rößler

Wellmann

et al. 2021

Journal of Microscopy

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Burning of clinker is the most influencing step of cement quality during the production process. Appropriate characterisation for quality control and decisionmaking is therefore the critical point to maintain a stable production but also for the development of alternative cements. Scanning electron microscopy (SEM) in combination with energy dispersive X-ray spectroscopy (EDX) delivers spatially resolved phase and chemical information for cement clinker. This data can be used to quantify phase fractions and chemical composition of identified phases.The contribution aims to provide an overview of phase fraction quantification by semi-automatic phase segmentation using high-resolution backscattered electron (BSE) images and lower-resolved EDX element maps. Therefore, a tool for image analysis was developed that uses state-of-the-art algorithms for pixel-wise image segmentation and labelling in combination with a decision tree that allows searching for specific clinker phases. Results show that this tool can be applied to segment sub-micron scale clinker phases and to get a quantification of all phase fractions. In addition, statistical evaluation of the data is implemented within the tool to reveal whether the imaged area is representative for all clinker phases.

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Section: Resultsmentioning

confidence: 99%

Workflow for high‐resolution phase segmentation of cement clinker from combined BSE image and EDX spectral data

Jiang

Rößler

Wellmann

et al. 2021

Journal of Microscopy

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“…These were then quantified using the QuantMap function in the Aztec software for all elements without any normalization. These maps were used as inputs for further EDS analyses using the edxia method (Georget et al, 2021) in Glue's interface (Robitaille et al, 2017).…”

Section: Characterisationmentioning

confidence: 99%

Alkali-Activation of Synthetic Aluminosilicate Glass With Basaltic Composition

et al. 2021

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Alkali-activated materials (AAMs) are a potential alternative to Portland cement because they can have high strength, good durability and low environmental impact. This paper reports on the structural and mechanical characteristics of aluminosilicate glass with basalt-like compositions, as a feedstock for AAMs. The alkali-activation kinetics, microstructure, and mechanical performance of the alkali activated glass were investigated. The results show that AAMs prepared from basalt glass have high compressive strength (reaching up to 90 MPa after 7 days of hydration) compared to those made using granulated blast furnace slag (GBFS). In addition, calorimetry data show that the hydrolysis of the developed glass and subsequent polymerization of the reaction product occur at a faster rate compared to GBFS. Furthermore, the obtained results show that the alkali activation of the developed glass formed sodium aluminosilicate hydrate (N-A-S-H) intermixed with Ca aluminosilicate hydrate gel (C-A-S-H), while the alkali activation of GBFS resulted in predominantly C-A-S-H gel. The developed glass can be formed from carbonate-free and abundant natural resources such as basalt rocks or mixtures of silicate minerals. Therefore, the glass reported herein has high potential as a new feedstock of AAMs.

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“…Therefore, a lot of the generic tools developed for phase separations have strong limitations for cementitious materials such as the inability to detect sub-resolutions phases and correctly identify mixture of phases. 1 To work around this issue, we developed a manual approach, which relies on the expert knowledge to perform the phase segmentation. This approach is shown in the flowchart of Figure 1, following the solid red boxes.…”

Section: Introductionmentioning

confidence: 99%

Simple automation of SEM‐EDS spectral maps analysis with Python and the edxia framework

Georget

Wilson

Scrivener

2022

Journal of Microscopy

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In a recent article, we described the edxia framework, a user-friendly framework to analyse the microstructure of cementitious materials using SEM-EDS hypermaps. The manual approach presented was shown to be efficient to answer the relevant scientific questions. However, it is limited for batch analysis and (semi-)automated treatments. In this article, we show how the framework can be used to customise the analysis to the problem at hand. We first present some possible extensions, and then we provide a simple example of automatic clustering, using the flexible Python scientific libraries which will allow to define more custom workflows in the future.

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edxia: Microstructure characterisation from quantified SEM-EDS hypermaps

Cited by 132 publications

References 34 publications

Workflow for high‐resolution phase segmentation of cement clinker from combined BSE image and EDX spectral data

Workflow for high‐resolution phase segmentation of cement clinker from combined BSE image and EDX spectral data

Alkali-Activation of Synthetic Aluminosilicate Glass With Basaltic Composition

Simple automation of SEM‐EDS spectral maps analysis with Python and the edxia framework

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