Analyze Bruker S8 TIGER Sequential WDXRF Spectrometer data with AI

High-precision sequential WDXRF spectrometer for quantitative elemental analysis

Design Features: Goniometer-based WDXRF design

Specification: Highest analytical accuracy

Operating Range: Multiple crystals for full element range

Specification: Vacuum/helium atmosphere capability

Sample Handling: Automation-ready sample handling

Get Started For Free Fully compatible with Sourcetable

Quick Start Integration

Get your S8 TIGER data into Sourcetable in 3 simple steps

Export Data

Export analytical results from your S8 TIGER via SPECTRAplus to CSV format for quality control
Upload to Sourcetable

Import your WDXRF quantitative data and concentration results into Sourcetable for analysis
Start Analysis

Perform automated elemental quantification and generate comprehensive QC reports

File Format Compatibility

Complete support for S8 TIGER WDXRF data including high-precision elemental quantification for mining and metallurgy applications.

.csv

Raw Data

Full Support Export concentration results and analytical data Elemental concentrations, calibration data, QC statistics, repeatability measurements

.xlsx

Fully Formatted

Full Support Structured analytical reports with QC statistics QC reports, calibration certificates, process control charts

Pre-built Analysis Workflows

High-precision WDXRF workflows for quantitative elemental analysis with automated drift correction and statistical quality control.

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Elemental Quantification

High-precision elemental concentration determination

Quantification Precision Concentration

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Process Control

Quality control analysis for industrial processes

Process Quality Control

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Calibration Analysis

Empirical calibration and standardless analysis modes

Calibration Empirical Standardless

Technical Requirements

Software Dependencies

S8 TIGER WDXRF Sequential WDXRF spectrometer with goniometer design
Control Software SPECTRAplus software
File Export Format Bruker .oxs, CSV, PDF
Applications Mining, cement production, metals analysis

Sourcetable Libraries

Data Processing pandas, numpy
Statistical Analysis scipy, statsmodels
Visualization matplotlib, plotly
Specialized Analysis seaborn

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