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Thermo Fisher
Genesys 150

Home
Lab Devices
Thermo Fisher
Genesys 150

Analyze Genesys 150 UV-Vis Spectrophotometer data with AI

Measure absorbance spectra and concentrations of samples for solution chemistry

Wavelength Range: 190–1100 nm

Beam Type: Dual-beam optics for stability

Temperature Control: Available for kinetic studies

Software: VISIONlite software

Data Export: CSV, TSV via USB

Get Started For Free Fully compatible with Sourcetable

Quick Start Integration

Get your Genesys 150 data into Sourcetable in 3 simple steps

Export Data

Export absorbance spectra and concentration data from your Genesys 150 via VISIONlite software to CSV
Upload to Sourcetable

Import your UV-Vis spectral and quantitative data into Sourcetable for analysis
Start Analysis

Perform automated spectral analysis, Beer-Lambert calculations, and kinetic rate measurements

File Format Compatibility

Optimized for UV-Vis spectrophotometry with full spectrum analysis and quantitative measurements

.csv

Raw Data

Full Support Full spectrum analysis, peak detection, Beer-Lambert calculations, kinetic monitoring

.tsv

Tab-Delimited

Full Support Spectral data in tab-separated format

Pre-built Analysis Workflows

Comprehensive workflows for UV-Vis spectroscopy analysis and quantitative solution chemistry

📈

Spectrum Analysis

Full UV-Vis absorption spectrum analysis with peak identification and characterization

UV-Vis Spectroscopy Spectrum Analysis Peak Detection

🧮

Quantitative Analysis

Beer-Lambert law calculations for concentration determination from absorbance

Beer-Lambert Concentration Quantification

⏱️

Kinetic Analysis

Time-resolved absorbance monitoring for reaction kinetics studies

Kinetics Time-Resolved Reaction Monitoring

Technical Requirements

Software Dependencies

Genesys 150 Dual-beam UV-Vis spectrophotometer
Control Software VISIONlite software for instrument control
File Export Format CSV, TSV via USB export
Applications Academic research, environmental, pharma QC

Sourcetable Libraries

Data Processing pandas, numpy
Spectral Analysis scipy, scikit-learn
Visualization matplotlib, plotly
Peak Analysis scipy.signal, peakutils

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