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Fully Automated Image-Based Single-Cell Isolation and Picking

Fully Automated Image-Based Single-Cell Isolation and Picking content piece image

Understanding tumors on the single-cell level, and unraveling tumor heterogeneity, may have a huge impact on cancer survivability. In order to analyze cellular heterogeneity on the single-cell level using sequencing techniques and other analyses, these target cells have to be selected and isolated in high purity from a heterogeneous background.


Download this app note to learn how:

  • You can select 20 individual CTCs in 10 minutes 
  • This approach can be used for DNA, RNA or proteome analysis
  • These target cells are selected and isolated in high purity from heterogenous backgrounds

Download this FREE App Note Here!