Unsupervised content-preserving transformation for optical microscopy
Xinyang Li, Guoxun Zhang, Hui Qiao, Feng Bao, Yue Cheng Deng, Jiamin Wu, Yangfan He, Jing‐Ping Yun, Xing Lin, Hao Xie, Haoqian Wang, Qionghai Dai
This paper introduces an unsupervised image transformation method for optical microscopy that avoids data annotation and achieves high-fidelity image transformations across modalities.
Light Science & Applications · Mar 1, 2021Peer-reviewedBioinformatics