Automated digital morphometry of peripheral blood smears detects both infrequent events and cellular population patterns in myelodysplastic syndrome

Clinical Impact.

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Poster

March 28, 2024

Automated digital morphometry of peripheral blood smears detects both infrequent events and cellular population patterns in myelodysplastic syndrome

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Objective:

Current diagnosis of myelodysplastic syndrome (MDS) is based on invasive bone marrow aspirate, followed by subjective morphological analysis. The novel Full-Field Morphology (FFM) technology developed by Scopio Labs performs peripheral blood smear (PBS) analysis on a large scale of 1000 fields of 100X view in a routine manner, allowing a precise and highly sensitive automated quantification of cellular and sub-cellular morphological parameters. In this study, we applied this digital morphometric approach to compare PBS morphology of MDS patients with age-matched controls.

Conclusion:

Our study demonstrates that FFM-based digital PBS analysis enables the detection and quantification of unique WBC and RBC morphologic alterations associated with MDS.

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Clinical Impact.

Automated digital morphometry of peripheral blood smears detects both infrequent events and cellular population patterns in myelodysplastic syndrome

Objective:

Conclusion:

The Clinical Significance of Circulating Lymphocytes Morphology in Diffuse Large B-Cell Lymphoma As Determined by a Novel, Highly Sensitive Microscopy

Remote Digital Microscopy Improves Hematology Laboratory Workflow by Reducing Peripheral Blood Smear Analysis Turnaround Time

Performance evaluation study of a novel digital microscopy system for the quantitative analysis of bone marrow aspirates