基于编码微球荧光强度的外泌体多参联合定量分析方法及装置
By inversely mapping the spatial distribution topology of feature points with the three-dimensional attitude characterization vector, and combining the feature point diffusion function and the channel intermodulation matrix, the signal distortion problem of encoded microspheres in dynamic flow environment is solved, and high-precision quantitative analysis of exosomes is achieved.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- ZHEJIANG YISPU BIOTECHNOLOGY CO LTD
- Filing Date
- 2026-05-12
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies cannot effectively distinguish between the three-dimensional posture distortion of coded microspheres and fluorescence signal fluctuations caused by self-shielding effects in dynamic flow environments, resulting in high dispersion of detection results for low-abundance samples, which cannot meet the requirements of high repeatability and high accuracy.
By inversely mapping the spatial distribution topology of feature points to the three-dimensional attitude representation vector, and combining the feature point diffusion function and channel intermodulation matrix, we can achieve accurate identification and signal restoration of random spatial rotation of coded microspheres, and eliminate spectral cross-interference and sensor nonlinear response distortion.
It significantly improves the signal restoration capability of exosome detection, reduces systematic bias, and ensures the accuracy and repeatability of high-fidelity molecular distribution information.
Smart Images
Figure CN122175984B_ABST