一种超低剂量相干衍射成像方法和装置
By separating noise components in reciprocal space using principal component analysis, the problem of limited resolution in coherent diffraction imaging under ultra-low exposure doses is solved, achieving high-resolution and robust imaging suitable for imaging in various electromagnetic bands.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- HUAZHONG UNIV OF SCI & TECH
- Filing Date
- 2026-04-24
- Publication Date
- 2026-07-17
AI Technical Summary
Existing coherent diffraction imaging techniques have limited resolution at ultra-low exposure doses, and noise aliasing leads to a low signal-to-noise ratio, making it difficult to achieve high-resolution reconstruction. Furthermore, existing algorithms cannot effectively handle non-stationary noise and have high computational overhead.
Principal component analysis is used to separate noise components in reciprocal space. Noise components are constructed separately for each scanning position and correlated by low-dimensional spatial projection to achieve real-time separation and updating of noise, thus avoiding noise interference with the reconstruction process.
It significantly improves the resolution and robustness of coherent diffraction imaging systems under ultra-low exposure doses, reduces the need for high-throughput, high-stability light sources and high-performance detectors, shortens imaging time, and is suitable for imaging in various electromagnetic bands.
Smart Images
Figure CN122084664B_ABST