LabRAM Soleil

Analyze Horiba LabRAM Soleil data with AI

Raman microscopy imaging system for pharmaceutical analysis (polymorph mapping)

UV Capability: 244 nm UV laser for enhanced resolution
Spatial Resolution: < 200 nm with UV excitation
Spectral Range: 200-4000 cm⁻¹ extended range
Sample Stage: Motorized stage with autofocus
Detector: Deep-depletion CCD for UV sensitivity
Applications: UV Raman and sub-micron analysis
Get Started For Free Fully compatible with Sourcetable

Quick Start Integration

Get your LabRAM Soleil data into Sourcetable in 3 simple steps

  • Step 1

    Export Data

    Export your Raman spectral data from your LabRAM Soleil via PC software to CSV (spectral data), SPC, XLSX (peak tables).

  • Step 2

    Upload to Sourcetable

    Import your analytical data into Sourcetable for advanced statistical processing and visualization.

  • Step 3

    Start Analysis

    Perform automated data analysis with statistical validation, trend analysis, and generate comprehensive analytical reports.

File Format Compatibility

Complete support for LabRAM Soleil Raman data including spectral identification and mapping analysis.

.xlsx

Fully Formatted

Full Support Excel-formatted reports with comprehensive analysis Statistical analysis tables, graphical charts, trend analysis, comparative studies, quality control metrics

.csv

Raw Data

Full Support Raw measurement data with timestamp information Time-series data, sample identifiers, measurement values, experimental parameters, calibration data

.spc

Spectral Data

Processing Required Spectroscopy data format with metadata Spectral data arrays, wavelength/wavenumber information, acquisition parameters, processing history

Pre-built Analysis Workflows

Advanced Raman workflows for pharmaceutical analysis (polymorph mapping) with spectral identification and automated mapping analysis.

🔬

Spectral Collection

High-resolution Raman spectroscopy with laser power optimization and cosmic ray removal

Raman High-Resolution Optimization
📊

Peak Identification

Automated peak detection with spectral library matching and compound identification

Peak-Detection Library Identification
📈

Chemical Mapping

Spatial distribution analysis with confocal microscopy and multivariate analysis

Chemical-Mapping Confocal Multivariate

Technical Requirements

Software Dependencies

  • LabRAM Soleil LabRAM Soleil Raman spectrometer
  • Control Software LabSpec
  • File Export Format CSV (spectral data), SPC, XLSX (peak tables)
  • Export Method PC software
  • Applications Chemical analysis, materials characterization

Sourcetable Libraries

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

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Data Science

Sourcetable fuses AI smarts with Python’s full analytical power, so you can clean, query, model, and visualize data without switching tools or writing a single line of code. It’s everything you need, right where you need it.

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Visualizations

Turn data into charts & graphs instantly. Sourcetable helps you explore trends, uncover patterns, and present insights, automatically or on your terms.

Visualizations

Manipulate Data

Clean, shape, and structure data with AI, formulas, or code. Sourcetable helps you go from raw input to ready-to-use datasets in seconds.

Manipulate Data

Get Insights

Ask questions in plain English, generate charts instantly, use Python for custom logic, and tap into built-in research tools for deeper insights.

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