https://github.com/weisongzhao/adaptiveoptics.simulation
Simulation for sensorless adaptive optics (Confocal microscopy, Modal method)
https://github.com/weisongzhao/adaptiveoptics.simulation
adaptive-optics confocal-microscopy matlab matlab-toolbox simulation
Last synced: 10 months ago
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Simulation for sensorless adaptive optics (Confocal microscopy, Modal method)
- Host: GitHub
- URL: https://github.com/weisongzhao/adaptiveoptics.simulation
- Owner: WeisongZhao
- Created: 2019-03-13T17:02:03.000Z (over 7 years ago)
- Default Branch: master
- Last Pushed: 2022-01-03T16:15:33.000Z (over 4 years ago)
- Last Synced: 2025-04-13T14:12:29.446Z (about 1 year ago)
- Topics: adaptive-optics, confocal-microscopy, matlab, matlab-toolbox, simulation
- Language: MATLAB
- Homepage:
- Size: 124 KB
- Stars: 23
- Watchers: 1
- Forks: 6
- Open Issues: 2
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Metadata Files:
- Readme: README.md
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README
## 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.
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`).
## 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)