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Blast flagging of the Sysmex XN-10 hematology analyzer with supervised cell image analysis: Impact on quality parameters.

Jessica PetroneRonald JackupsCharles S EbyGail ShimerJeanne AndersonJohn L Frater
Published in: International journal of laboratory hematology (2019)
The Sysmex XN-10 abnormal lymphocyte/blast and immature granulocytes flags had excellent sensitivity and acceptable specificity in detecting circulating blasts with shorter turnaround time than the CellaVision-assisted visual differential. Our study suggests that automated differentials performed on Sysmex XN-10 can replace visual differentials as a first-line screening method for blast detection with improved turnaround time in hematology-oncology populations.
Keyphrases
  • machine learning
  • single cell
  • palliative care
  • cell therapy
  • deep learning
  • high throughput
  • stem cells
  • quality improvement
  • peripheral blood
  • mesenchymal stem cells
  • label free
  • structural basis
  • quantum dots