Analyze Horiba MacroRAM data with AI

Benchtop Raman spectrometer (macro sample) for chemical manufacturing qa

Sample Size: Large samples up to 200mm diameter

Working Distance: 25mm working distance

Laser Power: High-power laser options available

Detection Area: Large area sampling capability

Positioning: XYZ motorized stage for large samples

Applications: Industrial and large sample analysis

Get Started For Free Fully compatible with Sourcetable

Quick Start Integration

Get your MacroRAM data into Sourcetable in 3 simple steps

Export Data

Export your Raman spectral data from your MacroRAM via PC software export to CSV, SPC.
Upload to Sourcetable

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

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

File Format Compatibility

Complete support for MacroRAM 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

Pre-built Analysis Workflows

Advanced Raman workflows for chemical manufacturing qa with spectral identification and automated mapping analysis.

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Spectral Collection

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

Raman High-Resolution Optimization

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Peak Identification

Automated peak detection with spectral library matching and compound identification

Peak-Detection Library Identification

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Chemical Mapping

Spatial distribution analysis with confocal microscopy and multivariate analysis

Chemical-Mapping Confocal Multivariate

Technical Requirements

Software Dependencies

MacroRAM MacroRAM Raman spectrometer
Control Software PC software
File Export Format CSV, SPC
Export Method PC software export
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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Visualizations

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.

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