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Multiplexed imaging solution, Cell DIVE™

Cell DIVE™ imager and license set
  630-3399
Multiplexed imaging solution, Cell DIVE™
  630-3399
Multiplexed imaging solution, Cell DIVE™
Multiplexed imaging solution, Cell DIVE™

Cell DIVE™ imager and license set

 
431 683,52 €
   
1 * 1 SET
 

Deepen your understanding of the tissue microenvironment. Cell DIVE™ multiplexed imaging is an antibody-based hyperplexed technique addressing spatial cell biology and function within the tumour microenvironment. Cell DIVE™ for spatial biomarker analysis, delivers thousands of data points from just one tissue section, down to the single-cell level.

  • Customisable: Design and configure experiments exactly how you want
  • Precise: Collect the data valuable to you, and trust in your results
  • Proven: Years of experience plus three tested and refined technologies, merged into one solution
  • Reveal 60+ biomarkers in one sample with hyperplexed immunofluorescence imaging, compared to multispectral imaging tools typically capable of analysing six to eight

Cancer is complicated. Immunotherapy, while promising, is still only 30% effective. Researchers need a greater understanding of the cellular architecture of normal and diseased tissues to develop better treatments and more accurately predict disease progression. Multiplexed, or hyperplexed, imaging is the latest technology that clearly visualises, identifies and quantifies significant biomarkers. Go from answering the question, 'Is it cancer?' to gaining the ability to stratify tumours by cell type, biomarker profile and specific features. Built by scientists, for scientists, from a decade of discovery and development plus years of rigorous research, testing and validation.

Deployed in the United States and evaluated through international collaboration, our science, algorithms, and methodology are proven, so you can trust your results

 : For more information on Cell DIVE™, please contact your local Avantor representative.

 
  • Désignation:
    Cell DIVE™ imager and license set
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