CycleGAN for Reflection and Aberration Artifact Removal in Quantitative Phase Images of Mesenchymal Stromal Cells

We demonstrate artifact removal in quantitative phase images of cells using a cycle-consistent generative adversarial network (cycleGAN). This method relaxes the requirement on the optical quality of the imaging vessel even without having paired data.