Learning to Reconstruct Confocal Microscopy Stacks from Single Light Field Images

24 Mar 2020Josue PageFederico SaltarinYury BelyaevRuth LyckPaolo Favaro

We present a novel deep learning approach to reconstruct confocal microscopy stacks from single light field images. To perform the reconstruction, we introduce the LFMNet, a novel neural network architecture inspired by the U-Net design... (read more)

PDF Abstract

Results from the Paper

  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods used in the Paper