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Lab Devices
Thermo Fisher
Qubit 4

Home
Lab Devices
Thermo Fisher
Qubit 4

Analyze Qubit 4 Fluorometer data with AI

Measure DNA, RNA, or protein concentration using fluorescent dyes

Sample Volume: 1-20 µL samples

Interface: Intuitive touchscreen

Assay Type: Fluorescent dye-based quantification

Accuracy: Highly specific assay-based measurements

Data Export: CSV via USB or Qubit software

Get Started For Free Fully compatible with Sourcetable

Quick Start Integration

Get your Qubit 4 data into Sourcetable in 3 simple steps

Export Data

Export fluorescence quantification data from your Qubit 4 via USB or software to CSV format
Upload to Sourcetable

Import your nucleic acid and protein quantification data into Sourcetable for analysis
Start Analysis

Perform automated standard curve analysis and generate concentration reports with quality metrics

File Format Compatibility

Optimized for fluorescence-based quantification with assay-specific analysis and standard curve fitting

.csv

Raw Data

Full Support Standard curve fitting, concentration calculations, assay validation, quality control metrics

Pre-built Analysis Workflows

Precision workflows for fluorescence-based nucleic acid and protein quantification

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Fluorescence Quantification

Highly specific DNA/RNA/protein concentration determination using fluorescent assays

Fluorescence DNA Quantification RNA Analysis Protein Assays

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Standard Curve Analysis

Automated standard curve fitting and validation for accurate quantification

Standard Curves Calibration Quality Control Validation

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Assay Optimization

Multiple dye assay selection and optimization for different sample types

Assay Selection Optimization Sensitivity Specificity

Technical Requirements

Software Dependencies

Qubit 4 Fluorometer Instrument with touchscreen interface
Assay Kits Fluorescent dye assay reagents
File Export Format CSV via USB or Qubit software
Applications Life sciences, molecular biology

Sourcetable Libraries

Data Processing pandas, numpy
Statistical Analysis scipy, statsmodels
Visualization matplotlib, plotly
Curve Fitting scikit-learn, scipy.optimize

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