D2 PHASER

Analyze Bruker D2 PHASER Benchtop X-ray Powder Diffractometer data with AI

Compact desktop X-ray powder diffractometer for phase identification

Design Features: Compact desktop XRD design
Source Configuration: Sealed tube Cu X-ray source
Detection System: 1D detector system
Sample Handling: Easy sample loading
Specification: Standard power outlet operation
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Quick Start Integration

Get your D2 PHASER data into Sourcetable in 3 simple steps

  • Step 1

    Export Data

    Export diffraction patterns from your D2 PHASER via DIFFRAC.EVA to CSV format for phase analysis

  • Step 2

    Upload to Sourcetable

    Import your XRD pattern data and phase identification results into Sourcetable for analysis

  • Step 3

    Start Analysis

    Perform automated phase identification and generate comprehensive crystallographic reports

File Format Compatibility

Complete support for D2 PHASER XRD data including phase identification and quantitative analysis for pharmaceutical applications.

.csv

Raw Data

Full Support Export diffraction patterns and peak data 2θ vs intensity data, peak positions, phase percentages, crystallinity calculations

Pre-built Analysis Workflows

Powder diffraction workflows for phase identification and quantification with automated peak search and database matching.

🔬

Phase Identification

Automated phase identification using PDF-2 database matching

Phase Identification Database
📊

Polymorph Screening

Pharmaceutical polymorph identification and screening

Polymorph Pharmaceutical Screening

Crystallinity Analysis

Quantitative crystallinity determination and calculations

Crystallinity Quantitative Analysis

Technical Requirements

Software Dependencies

  • D2 PHASER XRD Benchtop X-ray powder diffractometer with Cu source
  • Control Software DIFFRAC.EVA software
  • File Export Format Bruker RAW, ASCII, CSV
  • Applications Pharmaceutical analysis, academia, geology

Sourcetable Libraries

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

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