Combining machine learning and Fourier optics for fluorescence microscopy aberration correction

There is commercial interest in producing high quality microscopy images for low cost. Our research combines Fourier optics and machine learning to attempt to correct aberrations in low-quality fluorescence microscopy images. We use Fourier optics to generate a synthetic dataset and validate the approach and then discuss how the technique might be applied to real world fluorescence images.