Label-free liquid biopsy through the identification of tumor cells by machine learning-powered tomographic phase imaging flow cytometry

HIGHLIGHTS

  • who: Daniele Pirone from the Department University of have published the paper: Label-free liquid biopsy through the identification of tumor cells by machine learning-powered tomographic phase imaging flow cytometry, in the Journal: Scientific Reports Scientific Reports
  • future: While only a proof-of-concept study has been addressed in this paper it is reasonable to foresee that the extension of the approach to the identification of other cancer cell lines as well as other types of WBCs is feasible.

SUMMARY

    The dataset has been used for training a hierarchical ML . . .

     

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