一种基于图像分析评估干细胞质量的方法及系统
By using image analysis methods to acquire stem cell image data, generate segmentation thresholds, reconstruct overlapping regions, construct three-dimensional feature vectors, and perform multi-scale feature fusion, the accuracy problem caused by overlapping regions in stem cell evaluation is solved, and high-precision quality assessment is achieved.
CN121280384BActive Publication Date: 2026-07-17ZHONGKE JUYAN (JILIN) STEM CELL TECH CO LTD
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- ZHONGKE JUYAN (JILIN) STEM CELL TECH CO LTD
- Filing Date
- 2025-10-11
- Publication Date
- 2026-07-17
AI Technical Summary
Technical Problem
Traditional stem cell assessments suffer from cell overlap, leading to poor accuracy in quality assessment.
Method used
An image analysis-based approach is used to acquire stem cell image data, generate segmentation thresholds, reconstruct overlapping regions, construct three-dimensional feature vectors, perform multi-scale feature fusion, and segment the data to output high-precision quantitative assessment results of stem cell quality.
Benefits of technology
It improves the accuracy of stem cell quality assessment, solves the problem of segmenting overlapping areas, and achieves high-precision quality assessment.
✦ Generated by Eureka AI based on patent content.
Smart Images
Figure CN121280384B_ABST
Abstract
本发明涉及图像处理技术领域，具体涉及一种基于图像分析评估干细胞质量的方法及系统；方法包括：获取干细胞图像数据，根据当前检测区域细胞核 / 质灰度比生成分割阈值，并重建重叠区域，获取干细胞特征数据；根据干细胞特征数据构建干细胞三维特征向量，进行多尺度特征融合，并针对重叠区域进行分割处理，输出分割数据；进行分割数据加权，获取干细胞质量量化评估结果，并输出；系统包括：干细胞数据自适应处理模块、重叠区域分割处理模块、评估数据融合分析模块；通过上述方式，实现了针对重叠区域进行划分判定，提高干细胞质量评估的准确性。
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