scholarly journals Micro–X-ray fluorescence (µXRF) analysis of proximal impactites: High-resolution element mapping, digital image analysis, and quantifications

2021 ◽  
Author(s):  
Pim Kaskes ◽  
Thomas Déhais ◽  
Sietze J. de Graaff ◽  
Steven Goderis ◽  
Philippe Claeys
Keyword(s):  
Image Analysis ◽  
High Resolution ◽  
Trace Element ◽  
Hypervelocity Impact ◽  
Data Sets ◽  
X Ray ◽  
Distribution Maps ◽  
Complex Processes ◽  
Analysis Workflow ◽  
Element Mapping

ABSTRACT Quantitative insights into the geochemistry and petrology of proximal impactites are fundamental to understand the complex processes that affected target lithologies during and after hypervelocity impact events. Traditional analytical techniques used to obtain major- and trace-element data sets focus predominantly on either destructive whole-rock analysis or laboratory-intensive phase-specific micro-analysis. Here, we present micro–X-ray fluorescence (µXRF) as a state-of-the-art, time-efficient, and nondestructive alternative for major- and trace-element analysis for both small and large samples (up to 20 cm wide) of proximal impactites. We applied µXRF element mapping on 44 samples from the Chicxulub, Popigai, and Ries impact structures, including impact breccias, impact melt rocks, and shocked target lithologies. The µXRF mapping required limited to no sample preparation and rapidly generated high-resolution major- and trace-element maps (~1 h for 8 cm2, with a spatial resolution of 25 µm). These chemical distribution maps can be used as qualitative multi-element maps, as semiquantitative single-element heat maps, and as a basis for a novel image analysis workflow quantifying the modal abundance, size, shape, and degree of sorting of segmented components. The standardless fundamental parameters method was used to quantify the µXRF maps, and the results were compared with bulk powder techniques. Concentrations of most major elements (Na2O–CaO) were found to be accurate within 10% for thick sections. Overall, we demonstrate that µXRF is more than only a screening tool for heterogeneous impactites, because it rapidly produces bulk and phase-specific geochemical data sets that are suitable for various applications within the earth sciences.

Trace element mapping using a high-resolution scanning X-ray fluorescence microscope equipped with a Kirkpatrick-Baez mirror system

2008 ◽  
Vol 40 (6-7) ◽  
pp. 1042-1045 ◽  
Author(s):  
S. Matsuyama ◽  
H. Mimura ◽  
K. Katagishi ◽  
H. Yumoto ◽  
S. Handa ◽  
...  
Keyword(s):  
High Resolution ◽  
Trace Element ◽  
Fluorescence Microscope ◽  
Mirror System ◽  
X Ray ◽  
Element Mapping

scholarly journals Insight into REE systematics and age records of metamorphosed garnet from high-resolution trace-element mapping

2021 ◽  
Author(s):  
Matthijs Smit ◽  
Carl Guilmette ◽  
Melanie Kielman-Schmitt ◽  
Ellen Kooijman ◽  
Erik Scherer ◽  
...  
Keyword(s):  
High Resolution ◽  
Trace Element ◽  
Insight Into ◽  
Element Mapping

The Use of High Resolution X-ray CT and Image Analysis to Quantify Open Porosity Changes after Induced Weathering Tests on Porous Geomaterials

2011 ◽  
Author(s):  
Jan DEWANCKELE ◽  
Tim DE KOCK ◽  
Gilles FRONTEAU ◽  
Loes BRABANT ◽  
Marijn BOONE ◽  
...  
Keyword(s):  
Image Analysis ◽  
High Resolution ◽  
Open Porosity ◽  
X Ray ◽  
Porosity Changes

scholarly journals Trace element mapping of a single cell using a hard x-ray nanobeam focused by a Kirkpatrick-Baez mirror system

2009 ◽  
Vol 38 (2) ◽  
pp. 89-94 ◽  
Author(s):  
S. Matsuyama ◽  
M. Shimura ◽  
H. Mimura ◽  
M. Fujii ◽  
H. Yumoto ◽  
...  
Keyword(s):  
Trace Element ◽  
Single Cell ◽  
Mirror System ◽  
X Ray ◽  
Element Mapping

Electron density distribution and Madelung potential in α-spodumene, LiAl(SiO3)2, from two-wavelength high-resolution X-ray diffraction data

1999 ◽  
Vol 55 (3) ◽  
pp. 273-284 ◽  
Author(s):  
Sandrine Kuntzinger ◽  
Nour Eddine Ghermani
Keyword(s):  
High Resolution ◽  
Density Distribution ◽  
Electron Density ◽  
Electron Density Distribution ◽  
Data Sets ◽  
X Ray Diffraction ◽  
Net Charge ◽  
X Ray ◽  
Madelung Potential ◽  
Net Charges

The electron density distribution in α-spodumene, LiAl(SiO3)2, was derived from high-resolution X-ray diffraction experiments. The results obtained from both Mo Kα- and Ag Kα-wavelength data sets are reported. The features of the Si—O and Al—O bonds are related to the geometrical parameters of the Si—O—Al and Si—O—Si bridges on the one hand and to the O...Li+ interaction on the other. Kappa refinements against the two data sets yielded almost the same net charges for the Si (+1.8 e) and O (−1.0 e) atoms in spodumene. However, the Al net charge obtained from the Ag Kα data (+1.9 e) is larger than the net charge derived from the Mo Kα data (+1.5 e). This difference correlates with a more contracted Al valence shell revealed by the shorter X-ray wavelength (κ = 1.4 for the Ag Kα data set). The derived net charges were used to calculate the Madelung potential at the spodumene atomic sites. The electrostatic energy for the chemical formula LiAl(SiO3)2 was −8.60 e2 Å−1 (−123.84 eV) from the net charges derived from the Ag Kα data and −6.97 e2 Å−1 (−100.37 eV) from the net charges derived from the Mo Kα data.

scholarly journals ZELDA: a 3D Image Segmentation and Parent-Child relation plugin for microscopy image analysis in napari

2021 ◽  
Author(s):  
Rocco D'Antuono ◽  
Giuseppina Pisignano
Keyword(s):  
Image Analysis ◽  
Image Segmentation ◽  
Open Source ◽  
Cell Number ◽  
Cell Segmentation ◽  
Data Sets ◽  
3D Analysis ◽  
3D Segmentation ◽  
Analysis Workflow ◽  
Parent Child

Bioimage analysis workflows allow the measurement of sample properties such as fluorescence intensity and polarization, cell number, and vesicles distribution, but often require the integration of multiple software tools. Furthermore, it is increasingly appreciated that to overcome the limitations of the 2D-view-based image analysis approaches and to correctly understand and interpret biological processes, a 3D segmentation of microscopy data sets becomes imperative. Despite the availability of numerous algorithms for the 2D and 3D segmentation, the latter still offers some challenges for the end-users, who often do not have either an extensive knowledge of the existing software or coding skills to link the output of multiple tools. While several commercial packages are available on the market, fewer are the open-source solutions able to execute a complete 3D analysis workflow. Here we present ZELDA, a new napari plugin that easily integrates the cutting-edge solutions offered by python ecosystem, such as scikit-image for image segmentation, matplotlib for data visualization, and napari multi-dimensional image viewer for 3D rendering. This plugin aims to provide interactive and zero-scripting customizable workflows for cell segmentation, vesicles counting, parent-child relation between objects, signal quantification, and results presentation; all included in the same open-source napari viewer, and 'few clicks away'.

scholarly journals A Novel Economical Method of Determining the Geometric Characteristic of the Metal Foam Based on Image Analysis

Energies ◽  
2020 ◽  
Vol 13 (13) ◽  
pp. 3378
Author(s):  
Martin Beer ◽  
Marcela Taušová ◽  
Radim Rybár ◽  
Michal Kaľavský
Keyword(s):  
Image Analysis ◽  
High Resolution ◽  
Metal Foam ◽  
Geometric Characteristic ◽  
Deposition Process ◽  
Metal Foams ◽  
Image Capture ◽  
X Ray ◽  
Basic Characteristics ◽  
Energy Absorbers

The presented paper deals with the metal foams, which have a wide application potential ranging from power engineering, through catalysts to impact energy absorbers. The main aim of the paper is to propose an economical non-destructive method of determining the basic characteristics and dimensions using affordable devices. The basic principle of the proposed method lies in the image capture of metal foam and their subsequent analysis in image analysis software. An important element of the work is a comparison of results obtained by the proposed method with results obtained by high-resolution X-ray microtomography. The proposed method was evaluated in terms of measurement uncertainty and propagation of error in overall results. The use of the method is limited to the metal foams, characterized by an ordered structure, which are produced mainly by the electrophoretic deposition process. Based on the descriptive statistical analysis of results, it is possible to state, that the proposed method is in great agreement with accurate, but more expensive high-resolution X-ray microtomography.

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