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Thermo Fisher
Nanodrop Eight

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Lab Devices
Thermo Fisher
Nanodrop Eight

Analyze NanoDrop Eight Multichannel Spectrophotometer data with AI

Simultaneously measure concentrations of multiple DNA/RNA samples

Channels: 8-channel arm for parallel measurements

Sample Volume: 1-2 µL per well

Throughput: 8 samples simultaneously

Export Method: USB export and network share

Time Savings: 8x faster than single-sample instruments

Get Started For Free Fully compatible with Sourcetable

Quick Start Integration

Get your NanoDrop Eight data into Sourcetable in 3 simple steps

Export Data

Export multi-sample concentration data from your NanoDrop Eight via USB or network to CSV format
Upload to Sourcetable

Import your batch nucleic acid quantification data directly into Sourcetable for analysis
Start Analysis

Perform automated batch concentration analysis and generate multi-sample comparison reports

File Format Compatibility

Optimized for high-throughput microvolume spectrophotometry with multi-sample batch processing

.csv

Raw Data

Full Support Multi-sample concentration calculations, batch A260/A280 ratios, sample comparison analysis

Pre-built Analysis Workflows

High-throughput workflows for nucleic acid quantification and quality assessment across multiple samples

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Batch DNA/RNA Quantification

Simultaneous concentration determination across 8 samples with automated calculations

Batch Analysis DNA Quantification RNA Analysis High-Throughput

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Multi-Sample Purity Assessment

Comparative A260/A280 ratio analysis across all samples for quality evaluation

Batch Purity Quality Control Sample Comparison

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Throughput Optimization

8x faster sample processing with integrated batch analysis capabilities

High-Throughput Batch Processing Efficiency Time Savings

Technical Requirements

Software Dependencies

NanoDrop Eight 8-channel multichannel spectrophotometer
Sample Processing 8 samples per measurement cycle
File Export Format CSV via USB or network share
Applications Genomics labs, high-throughput research

Sourcetable Libraries

Data Processing pandas, numpy
Statistical Analysis scipy, statsmodels
Visualization matplotlib, plotly, seaborn
Batch Analysis scikit-learn, biopython

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