Attune NxT

Analyze Attune NxT Flow Cytometer data with AI

Analyze cells or particles for fluorescence markers at high throughput

Focusing Technology: Acoustic assisted hydrodynamic focusing
Laser Configuration: Up to 4 lasers
Detection Channels: Up to 14 color channels
Sample Handling: Optional plate sampler
Data Export: FCS files, CSV statistics
Get Started For Free Fully compatible with Sourcetable

Quick Start Integration

Get your Attune NxT data into Sourcetable in 3 simple steps

  • Step 1

    Export Data

    Export gated population statistics from your Attune NxT via software to CSV format

  • Step 2

    Upload to Sourcetable

    Import your flow cytometry analysis data into Sourcetable for comprehensive analysis

  • Step 3

    Start Analysis

    Perform automated cell population analysis, fluorescence intensity studies, and comparative gating

File Format Compatibility

Optimized for flow cytometry analysis with cell population quantification and fluorescence measurements

.csv

Raw Data

Full Support Gated population analysis export Cell counts, percentages, median fluorescence intensity, population statistics, experiment summaries

.fcs

Processing Required Standard flow cytometry data format Raw event data for advanced analysis

Pre-built Analysis Workflows

Advanced workflows for immunology research and cell biology applications

🔬

Cell Population Analysis

Quantitative analysis of cell populations and phenotyping

Flow Cytometry Cell Populations Phenotyping Immunology
📊

Fluorescence Analysis

Multi-parameter fluorescence intensity analysis and marker expression

Fluorescence Intensity Marker Expression Multi-Parameter
🧬

High-Throughput Screening

Automated cell analysis with plate-based sample handling

High-Throughput Automation Plate Sampling Screening

Technical Requirements

Software Dependencies

  • Attune NxT Flow cytometer with acoustic focusing
  • Control Software Attune NxT software for data collection
  • File Export Format CSV (statistics), FCS (raw data)
  • Applications Immunology, cell biology, clinical research

Sourcetable Libraries

  • Data Processing pandas, numpy
  • Statistical Analysis scipy, statsmodels
  • Visualization matplotlib, plotly, seaborn
  • Flow Cytometry scikit-learn, flowkit

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Clean, shape, and structure data with AI, formulas, or code. Sourcetable helps you go from raw input to ready-to-use datasets in seconds.

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Ask questions in plain English, generate charts instantly, use Python for custom logic, and tap into built-in research tools for deeper insights.

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