基于显微图像的诱导免疫细胞密度智能检测方法
By using an intelligent detection method based on microscopic images, cell time sequence and feature vectors are obtained, and a density prediction model is constructed. This solves the problems of time lag and poor adaptability in existing technologies, and enables early and accurate prediction and timely detection of cell density.
CN121685528BActive Publication Date: 2026-07-17SHENZHEN ZHIYIN CELL BIOTECHNOLOGY CO LTD
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- SHENZHEN ZHIYIN CELL BIOTECHNOLOGY CO LTD
- Filing Date
- 2026-02-06
- Publication Date
- 2026-07-17
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Figure CN121685528B_ABST
Abstract
本发明涉及图像数据处理技术领域,具体涉及基于显微图像的诱导免疫细胞密度智能检测方法,包括:获取任意一个历史样本在诱导处理后0到6小时的明场图像时序序列,从而获取同一个细胞的细胞区域时序序列,用以获取每个细胞在每一时刻下的形态特征向量与群体空间分布特征向量,再得到历史样本的早期时序与空间特征向量,结合24小时终末真实细胞密度,获取训练后的密度预测模型,输入当前样本在诱导处理后0到6小时的明场图像时序序列,输出当前样本的24小时终末预测细胞密度。本发明通过构建样本的早期时序与空间特征向量以及密度预测模型,可以准确的早期预测细胞密度,保障了细胞密度检测的及时性。
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