nanoIR2-s

Analyze Bruker nanoIR2-s AFM-IR Nanospectroscopy System data with AI

AFM-IR system for nanoscale chemical analysis with infrared spectroscopy

Source Configuration: AFM coupled with tunable IR laser
Resolution: <100 nm spatial resolution chemical ID
Specification: Simultaneous topography and IR mapping
Specification: Anasys technology integration
Specification: Co-located analysis capability
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Quick Start Integration

Get your nanoIR2-s data into Sourcetable in 3 simple steps

  • Step 1

    Export Data

    Export nanoscale IR spectra from your nanoIR2-s via Analysis Studio to CSV or JCAMP format

  • Step 2

    Upload to Sourcetable

    Import your AFM-IR data and chemical composition maps into Sourcetable for analysis

  • Step 3

    Start Analysis

    Perform automated nanoscale chemical analysis and generate comprehensive AFM-IR reports

File Format Compatibility

Complete support for nanoIR2-s AFM-IR data including nanoscale infrared spectroscopy for polymer science and 2D materials applications.

.csv

Raw Data

Full Support Export nanoscale IR spectra and topography data IR spectra, chemical maps, topography data, multi-variate analysis results

Pre-built Analysis Workflows

Nanoscale chemical analysis workflows with AFM-IR correlation for advanced materials characterization and contamination identification.

🔬

Chemical Mapping

Nanoscale chemical composition mapping with IR spectroscopy

Chemical Mapping Nanoscale
📊

Polymer Analysis

Polymer blend domain analysis and characterization

Polymer Blend Domains

Contaminant ID

Nanoscale contaminant identification via IR signature analysis

Contaminant Identification IR

Technical Requirements

Software Dependencies

  • nanoIR2-s AFM-IR nanospectroscopy system with tunable IR laser
  • Control Software Analysis Studio (Anasys)
  • File Export Format IR spectra (CSV, JCAMP), AFM topography, composite IR maps
  • Applications Polymer science, 2D materials, nanoscale chemical analysis

Sourcetable Libraries

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

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