Development of Machine-Assisted, Human-Centred Bone Marrow Cell Classification: Feasibility Analysis in Patients With Myelodysplastic Syndromes.

ABSTRACT:

Background

Cytomorphological examination and classification of bone marrow (BM) cells using a microscope is essential for diagnosing various diseases affecting the haematopoietic system. However, this requires expertise, is effort-intensive and is inherently subjective.

Methods

We developed a method for automatically capturing BM cell images at the single-cell level using an existing cell image analyser designed for peripheral blood. The captured BM cell images were pre-classified by the same analyser and subsequently viewed on a large screen by cytomorphologists for BM cell classification. The data consistency in BM blast percentages between the digital and conventional optical microscopy (CM) methods was examined.

Results

During the 3.5-year study period, 657 (96.2%

SUBMITTER: Ogata K 

PROVIDER: S-EPMC12707303 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature