一种基于偏振成像的无标记多层级结构样本检测方法
By combining polarization imaging technology and quantitative phase imaging with pixel-level image registration, the problem of detecting label-free multi-level structural samples has been solved, enabling accurate detection and inversion of the internal structure and components of samples. This technology is applicable to multi-level structural detection in biomedicine, pharmaceutical production, and food science.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- XI AN JIAOTONG UNIV
- Filing Date
- 2023-11-13
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies struggle to detect the internal structural components of multi-level structural samples under label-free conditions, especially in the biomedical field where label-free detection of live cells presents challenges such as phototoxicity, photobleaching, and environmental pollution.
A polarization-based imaging approach is employed, utilizing a amplitude-division polarization CMOS camera and quantitative phase imaging technology. Through circularly polarized light illumination, microscopic magnification, polarization degree imaging, and quantitative phase imaging, combined with pixel-level image registration, the refractive index and precise height information of the sample are obtained, enabling label-free multimodal detection of multi-level structural samples.
It enables accurate detection and inversion of the internal structure and composition of multi-level structural samples in a label-free state, avoiding damage to the samples, and is applicable to multi-level structural detection in biomedicine, pharmaceutical production and food science.
Smart Images
Figure CN117538263B_ABST