Virtual organelle self-coding for fluorescence imaging via adversarial learning

@article{Nguyen2020VirtualOS,
  title={Virtual organelle self-coding for fluorescence imaging via adversarial learning},
  author={Thanh Nguyen and Vy Bui and Anh Thai and Van Lam and Christopher B. Raub and Lin-Ching Chang and George Nehmetallah},
  journal={Journal of Biomedical Optics},
  year={2020},
  volume={25}
}
Abstract. Significance: Our study introduces an application of deep learning to virtually generate fluorescence images to reduce the burdens of cost and time from considerable effort in sample preparation related to chemical fixation and staining. Aim: The objective of our work was to determine how successfully deep learning methods perform on fluorescence prediction that depends on structural and/or a functional relationship between input labels and output labels. Approach: We present a… Expand
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