毕业设计&课设-无传感器自适应光学的仿真（共焦显微镜、模态法）.zip

## Simulation for sensorless adaptive optics (Confocal microscopy, Modal method) ## Introduction ### The simulation generates the aberrated PSF on the pupil with Zernike polynomial 5-22 orders, and corrects them with different methods: 1. GA (Genetic Algorithm). **1000+measurements** 2. Modal method. **350+measurements** 3. SPGD (Stochastic Parallel Gradient Descent). **250+measurements** 4. Optimal Modal method. **150+measurements** ### All the methods follow the basic direction---> Estimate the Zernike polynomial coefficients based on images with some of measurements. <p> <img src='img/Comparison of different metrics.png' align="right" width=400> </p> A comparison of different metrics (the steeper the curve, the better the metric). - M1: Variance (`aberration.m`); - M2: Sharpness (`aberration2.m`); - M3: Gradient (`aberration3.m`); - M4: Summation (`aberration4.m`). <br><br><br><br><br><br><br><br><br> ## Attention This repo. is made just for self using. It may have bugs or trouble. You can contact me with a github issue. If you find it useful, please cite our work: [Liu, J., Zhao, W., Liu, C., Kong, C., Zhao, Y., Ding, X., & Tan, J. (2019). Accurate aberration correction in confocal microscopy based on modal sensorless method. Review of Scientific Instruments, 90(5), 053703.](https://aip.scitation.org/doi/abs/10.1063/1.5088102)