LabRAM HR Evolution

Analyze Horiba LabRAM HR Evolution data with AI

High-resolution Raman spectrometer (microscope) for academic research (chemistry

Spectral Resolution: < 0.35 cm⁻¹ with high-resolution grating
Laser Options: Multiple laser lines 325-1064 nm
Microscope: High-stability confocal microscope
Mapping Capability: Automated XYZ mapping with sub-micron precision
Detector: CCD and EMCCD detector options
Applications: High-resolution research spectroscopy
Get Started For Free Fully compatible with Sourcetable

Quick Start Integration

Get your LabRAM HR Evolution data into Sourcetable in 3 simple steps

  • Step 1

    Export Data

    Export your Raman spectral data from your LabRAM HR Evolution via PC software to CSV, SPC, ASCII spectral files.

  • 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 HR Evolution Raman data including spectral identification and mapping analysis.

.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

.txt

Text Export

Supported Plain text data export with formatting Human-readable data, basic formatting, measurement summaries, parameter listings

Pre-built Analysis Workflows

Advanced Raman workflows for academic research (chemistry 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 HR Evolution LabRAM HR Evolution Raman spectrometer
  • Control Software LabSpec
  • File Export Format CSV, SPC, ASCII spectral files
  • 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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Turn data into charts & graphs instantly. Sourcetable helps you explore trends, uncover patterns, and present insights, automatically or on your terms.

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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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