SENTERRA II

Analyze Bruker SENTERRA II Raman Microscope data with AI

Confocal Raman microscope for material identification and polymorph analysis

Optical System: Confocal Raman optics
Source Configuration: Multiple laser wavelengths
Resolution: High spectral resolution
Sample Handling: Automated stage for mapping
Specification: Multivariate analysis capabilities
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Quick Start Integration

Get your SENTERRA II data into Sourcetable in 3 simple steps

  • Step 1

    Export Data

    Export Raman spectra from your SENTERRA II via OPUS to CSV format for peak analysis and mapping

  • Step 2

    Upload to Sourcetable

    Import your Raman spectral data and peak analysis results into Sourcetable for analysis

  • Step 3

    Start Analysis

    Perform automated peak shift analysis and generate comprehensive material identification reports

File Format Compatibility

Complete support for SENTERRA II Raman spectral data including peak analysis and chemical mapping for pharmaceutical and geological applications.

.csv

Raw Data

Full Support Export Raman spectra and peak analysis data Raman spectra, peak positions, mapping data, multivariate analysis results

Pre-built Analysis Workflows

Confocal Raman microscopy workflows for material identification and polymorph analysis with advanced mapping capabilities.

🔬

Material Identification

Phase identification and polymorph analysis via Raman spectroscopy

Identification Polymorphs Phases
📊

Chemical Mapping

Raman mapping for spatial chemical distribution analysis

Mapping Distribution Chemical

Peak Analysis

Peak shift analysis for stress and compositional studies

Peak Shift Stress

Technical Requirements

Software Dependencies

  • SENTERRA II Raman Confocal Raman microscope with multiple laser wavelengths
  • Control Software OPUS (FT-Raman) or instrument software
  • File Export Format Bruker Raman (.dxf, .spc), CSV, ASCII
  • Applications Pharmaceutical analysis, geology, materials science

Sourcetable Libraries

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

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