活体微血管动态神经成像追踪方法、系统、设备及介质
By combining dynamic focal plane compensation and deep learning models with morphological skeletonization, the problem of clear observation and synchronous tracking of microvascular and neural activity in living environments was solved, achieving high-precision correlation analysis between hemodynamics and neural activity.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- SHENZHEN ANSHEN BIOTECHNOLOGY CO LTD
- Filing Date
- 2025-11-10
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies struggle to clearly observe capillary-level micro-blood flow dynamics and neural activity in a living environment, and are also difficult to accurately correlate within a spatiotemporal synchronization framework, leading to biases and ambiguities in the analysis of neurovascular coupling mechanisms.
By employing dynamic focal plane compensation and optimized scanning protocols, combined with deep learning vascular segmentation models and morphological skeletonization processing, the trajectory of red blood cell movement is calculated, and synchronous tracking of hemodynamics and neural activity is achieved through hardware synchronization and spatiotemporal registration technology.
It effectively suppressed in vivo motion artifacts, accurately extracted the microvascular network topology, improved the accuracy of erythrocyte motion trajectory tracking, and achieved precise, synchronous tracking and dynamic correlation of hemodynamics and neural activity.
Smart Images
Figure CN121482082B_ABST