High-throughput, high-resolution registration-free generated adversarial network microscopy

7 Jan 2018Hao ZhangXinlin XieChunyu FangYicong YangDi JinPeng Fei

We combine generative adversarial network (GAN) with light microscopy to achieve deep learning super-resolution under a large field of view (FOV). By appropriately adopting prior microscopy data in an adversarial training, the neural network can recover a high-resolution, accurate image of new specimen from its single low-resolution measurement... (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.