Exploring dyserythropoiesis in patients with myelodysplastic syndrome by imaging flow cytometry and machine-learning assisted morphometrics.

Journal: Cytometry. Part B, Clinical cytometry
Published Date:

Abstract

BACKGROUND: The hallmark of myelodysplastic syndrome (MDS) remains dysplasia in the bone marrow (BM). However, diagnosing MDS may be challenging and subject to inter-observer variability. Thus, there is an unmet need for novel objective, standardized and reproducible methods for evaluating dysplasia. Imaging flow cytometry (IFC) offers combined analyses of phenotypic and image-based morphometric parameters, for example, cell size and nuclearity. Hence, we hypothesized IFC to be a useful tool in MDS diagnostics.

Authors

  • Carina A Rosenberg
    Department of Hematology, Aarhus University Hospital, Aarhus, Denmark.
  • Marie Bill
    Department of Hematology, Aarhus University Hospital, Aarhus, Denmark.
  • Matthew A Rodrigues
    c MilliporeSigma, Seattle, Washington, 98119.
  • Mathias Hauerslev
    Department of Hematology, Aarhus University Hospital, Aarhus, Denmark.
  • Gitte B Kerndrup
    Department of Pathology, Aarhus University Hospital, Aarhus, Denmark.
  • Peter Hokland
    Department of Clinical Medicine, Aarhus University, Aarhus, Denmark.
  • Maja Ludvigsen
    Department of Hematology, Aarhus University Hospital, Aarhus, Denmark.