NanoPOTS: Automated Nanodroplet Sample Processing Platform Skip to main content

NanoPOTS: Automated Nanodroplet Sample Processing Platform ID: 2020-013

An innovative platform that revolutionizes single-cell analysis through fully automated nanodroplet sample processing.

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Technology Overview

The nanoPOTS (Nanodroplet Processing in One pot for Trace Samples) platform is a groundbreaking technology that significantly advances biomedical research capabilities. It enables the direct measurement of individual cell dynamics by processing nanoliter sample volumes, facilitating comprehensive proteome profiling at the single-cell level. This technology integrates seamlessly with both label-free and multiplexed mass spectrometry-based analyses, laser-capture microdissection, and fluorescence-activated cell sorting, making it ideal for detailed cellular and tissue analysis.


Key Advantages

  • Fully automated system for precise nanoliter dispensing and high-resolution sample processing
  • Minimizes sample evaporation and risk of dehydration, enhancing sample integrity
  • Supports comprehensive single-cell proteome profiling with both label-free and multiplexed analyses
  • Compatible with laser-capture microdissection and fluorescence-activated cell sorting for versatile applications

Problems Addressed

  • Overcomes the granularity limitations of traditional bulk measurements in cellular analysis
  • Addresses the challenges of manual operations and large sample requirements in previous techniques
  • Solves the issue of sample evaporation and dehydration during processing

Market Applications

  • Single-cell analysis for biomedical research and cancer diagnostics
  • Ultra-trace sample processing in pharmaceutical development and environmental monitoring
  • Advanced research in cellular transitions, regulatory mechanisms, and tissue microenvironments

Additional Information

Technology ID: 2020-013
Sell Sheet: Download the Sell Sheet here
Market Analysis: Contact us for a more in-depth market report
Date Published: 28 March, 2025

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