M4 TORNADO

Analyze Bruker M4 TORNADO Micro XRF Spectrometer data with AI

Micro XRF spectrometer for high-resolution elemental mapping

Specification: Micro-spot X-ray (down to ~25 μm)
Specification: Vacuum chamber for light elements
Sample Handling: Large area XY motorized stage
Detection System: Dual silicon drift detectors
Specification: Fast elemental mapping capability
Get Started For Free Fully compatible with Sourcetable

Quick Start Integration

Get your M4 TORNADO data into Sourcetable in 3 simple steps

  • Step 1

    Export Data

    Export elemental maps from your M4 TORNADO via M4 software to TIFF and CSV formats

  • Step 2

    Upload to Sourcetable

    Import your micro-XRF mapping data and quantitative results into Sourcetable for analysis

  • Step 3

    Start Analysis

    Perform automated elemental distribution analysis and generate comprehensive mapping reports

File Format Compatibility

Complete support for M4 TORNADO micro-XRF data including elemental mapping and quantitative analysis for materials science applications.

.csv

Raw Data

Full Support Export spectral data and quantitative results per region Elemental concentrations, mapping data, inclusion analysis, quantitative distributions

Pre-built Analysis Workflows

Micro-XRF elemental mapping workflows with quantitative analysis and automated feature detection for materials research.

🔬

Elemental Mapping

High-resolution spatial elemental distribution mapping

Mapping Elemental Spatial
📊

Inclusion Analysis

Detection and analysis of inclusions and small features

Inclusions Features Detection

Composition Profiling

Small feature composition analysis and characterization

Composition Features Characterization

Technical Requirements

Software Dependencies

  • M4 TORNADO Micro XRF spectrometer with vacuum chamber and motorized stage
  • Control Software Bruker M4 software
  • File Export Format Elemental maps (TIFF), CSV, spectral data
  • Applications Materials science, semiconductor analysis, geology

Sourcetable Libraries

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

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