Large depth of field real-time drift correction method and system based on programmable point spread function
By employing a real-time drift correction method based on programmable point spread function, and utilizing the maximum likelihood estimation algorithm and the Cramer-Rao lower bound optimization algorithm to switch the PSF, combined with a triaxial nanostage for real-time compensation, the problem of high-precision drift correction over a large axial range was solved, achieving stable and high-resolution imaging in live cell imaging.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- ZHEJIANG NORMAL UNIV
- Filing Date
- 2026-02-27
- Publication Date
- 2026-06-26
AI Technical Summary
Existing technologies struggle to achieve high-precision drift correction over a wide axial range, especially in long-term live-cell imaging. Current post-processing correction techniques cannot dynamically adjust the PSF, resulting in poor drift correction performance.
A real-time drift correction method based on programmable point spread function is adopted. Images are acquired in real time by a high frame rate camera, the drift amount is calculated by the maximum likelihood estimation algorithm, and the optimal PSF is switched based on the Cramer-Rao lower bound optimization algorithm. Combined with a three-axis nanometer displacement stage, real-time closed-loop compensation is performed to achieve a positioning accuracy of 1nm in the 6μm axial range.
It achieves high-precision drift correction over a wide axial range, taking into account both the continuity and stability of the correction, adapting to the irregular changes in the axial position of the sample in live cell imaging, and meeting the requirements of ultra-high resolution imaging.
Smart Images

Figure CN121740758B_ABST