Imaging analysis method, imaging analysis device, and apparatus

By using threshold segmentation and morphological post-processing for live cell imaging analysis, the target region of interest (ROI) is automatically extracted, solving the inefficiency problem caused by manual operation in existing technologies and achieving efficient and automated cell imaging analysis.

CN122415667APending Publication Date: 2026-07-17TSINGHUA SHENZHEN INTERNATIONAL GRADUATE SCHOOL
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-04-28
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing technologies rely on manual operation in imaging analysis of live cells and organoids, which cannot achieve automated processing, resulting in low analysis efficiency and difficulty in achieving batch processing and high-precision morphological feature analysis.

Method used

By thresholding the original live cell image after imaging, candidate masks are obtained, and morphological post-processing is performed to remove abnormal connected components, automatically extract the target ROI, extract morphological features, and output a standardized result table.

Benefits of technology

It enables automated and batch processing of live cell imaging analysis, significantly improving analysis efficiency, reducing manual intervention, and ensuring data accuracy and consistency.

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Abstract

本申请提供了一种成像分析方法、成像分析装置及设备，对成像后的活体细胞的原始图像进行阈值分割，得到多个候选掩膜；对多个候选掩膜进行形态学后处理，得到闭合的多个候选连通域；剔除多个候选连通域中的异常连通域，得到目标ROI；对每个目标ROI进行形态学特征提取，得到各个目标ROI对应的形态学特征；根据原始图像的元数据和原始图像得到的目标ROI的形态学特征，输出标准化结果表；标准化结果表包括：原始图像的图像编号、原始图像对应的样本分组、原始图像对应的时间点、各个目标ROI对应的形态学特征。本申请实施例能够提高细胞成像分析的分析效率。
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