Analyze Bruker scimaX Compact FT-ICR MS data with AI

Compact 7T FT-ICR MS for high-resolution metabolomics and polymer analysis

Specification: 7 Tesla magnet in compact housing

Resolution: Up to 2M resolving power

Source Configuration: API source compatibility

Specification: Integrated fridge cooling

Specification: Metabolomics and polymer applications

Get Started For Free Fully compatible with Sourcetable

Quick Start Integration

Get your scimaX data into Sourcetable in 3 simple steps

Export Data

Export high-resolution mass data from your scimaX via DataAnalysis to CSV format for peak analysis
Upload to Sourcetable

Import your FT-ICR peak data and molecular analysis results into Sourcetable
Start Analysis

Perform automated exact mass analysis and generate comprehensive molecular characterization reports

File Format Compatibility

Complete support for scimaX FT-ICR data including high-resolution peak analysis for metabolomics and polymer characterization.

.csv

Raw Data

Full Support Export high-resolution peak masses and intensities Exact masses, peak intensities, polymer distributions, metabolite profiles

Pre-built Analysis Workflows

Compact FT-ICR workflows for metabolomics and polymer analysis with automated peak extraction and molecular characterization.

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Exact Mass Analysis

High-resolution exact mass determination for molecular identification

Exact Mass High-resolution

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Polymer Analysis

Molecular weight distribution analysis of synthetic polymers

Polymer Distribution Molecular

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Metabolite Profiling

Comprehensive metabolomics analysis with high mass accuracy

Metabolomics Profiling Accuracy

Technical Requirements

Software Dependencies

scimaX FT-ICR Compact 7T FT-ICR MS with integrated cooling system
Control Software Bruker DataAnalysis software
File Export Format Bruker .d, CSV
Applications Metabolomics research, synthetic polymer analysis, small molecule identification

Sourcetable Libraries

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

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