Deep learning-augmented Computational Miniature Mesoscope

@article{Xue2022DeepLC,
  title={Deep learning-augmented Computational Miniature Mesoscope},
  author={Yujia Xue and Qian Yang and Guo-ying Hu and Kehan Guo and Lei Tian},
  journal={Optica},
  year={2022}
}
: Fluorescence microscopy is essential to study biological structures and dynamics. However, existing systems suffer from a tradeoff between field-of-view (FOV), resolution, and complexity, and thus cannot fulfill the emerging need of miniaturized platforms providing micron-scale resolution across centimeter-scale FOVs. To overcome this challenge, we developed Computational Miniature Mesoscope (CM 2 ) that exploits a computational imaging strategy to enable single-shot 3D high-resolution imaging… 
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