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Second Harmonic Generation-Based Collagen Analysis and Automated Grading of Myelofibrosis
Xunbin Yu1,2, Guodong Guo1,2, Xia Zhang1,2
1Department of Pathology, Fuzhou University Affiliated Provincial Hospital, Fuzhou, Fujian, China.
Journal of Biophotonics
|April 21, 2026
Summary
Researchers developed an objective grading system for myelofibrosis using multiphoton microscopy to analyze collagen. This automated system accurately grades myelofibrosis, paving the way for broader fibrosis assessment.
Area of Science:
- Biomedical Engineering
- Pathology
- Medical Imaging
Background:
- Myelofibrosis grading is subjective and lacks standardization.
- Accurate assessment of collagen architecture is crucial for understanding disease progression.
Purpose of the Study:
- To develop an objective, quantitative, and automated grading system for myelofibrosis.
- To characterize collagen architecture in bone marrow tissues using label-free multiphoton microscopy.
- To enable standardized assessment of myelofibrosis.
Main Methods:
- Utilized label-free multiphoton microscopy for imaging bone marrow.
- Extracted five collagen features using the CT-FIRE toolbox.
- Developed a support vector machine (SVM) classifier for four-class myelofibrosis categorization.
Main Results:
- Achieved high accuracy in automated myelofibrosis grading across all grades.
- Demonstrated excellent area under the curve (AUC) values (0.994, 0.956, 0.940, 1.000) with a macro-average of 0.973.
- Successfully quantified collagen content and fiber morphology.
Conclusions:
- The developed system provides objective and automated grading of myelofibrosis.
- This approach facilitates accurate assessment of collagen in human bone marrow.
- Lays the groundwork for rapid grading of myelofibrosis and other fibrotic conditions.
