Related Experiment Video
Updated: Jan 8, 2026
12:05
Database-guided Flow-cytometry for Evaluation of Bone Marrow Myeloid Cell Maturation
Published on: November 3, 2018
12.2K
Development of Machine-Assisted, Human-Centred Bone Marrow Cell Classification: Feasibility Analysis in Patients With
Kiyoyuki Ogata1, Yuto Mochimaru1, Leonie Saft2
1Department of Haematology Metropolitan Research and Treatment Centre For Blood Disorders (MRTC Japan) Tokyo Japan.
Ejhaem
|December 18, 2025
Summary
A new digital method enhances bone marrow (BM) cell classification objectivity. This machine-assisted approach improves accuracy and data sharing for diagnosing hematopoietic diseases.
Area of Science:
- Hematology
- Digital Pathology
- Medical Diagnostics
Background:
- Microscopic examination of bone marrow (BM) cells is crucial for diagnosing hematopoietic diseases.
- Current methods are subjective, require expertise, and are labor-intensive.
Purpose of the Study:
- To develop and evaluate a digital method for automated BM cell image capture and classification.
- To assess the consistency of BM blast percentages between digital and conventional microscopy.
Main Methods:
- Utilized an existing cell image analyzer for automated BM cell image capture and pre-classification.
- BM cell classification was performed by cytomorphologists using digital images on a large screen.
- Compared data consistency in BM blast percentages between digital and conventional microscopy.
Main Results:
- The digital method was successfully applied to 96.2% of samples over 3.5 years.
- Digital images captured at 2000× magnification allowed for permanent storage and high-quality analysis.
- BM blast percentages showed comparability between digital and conventional methods, particularly for myelodysplastic syndromes.
Conclusions:
- The machine-assisted, human-centered approach enhances objectivity in BM cell classification.
- This digital method aligns with modern data sharing needs and improves diagnostic efficiency.
