Light: Science & Applications (Mar 2022)

Deep learning autofluorescence-harmonic microscopy

  • Binglin Shen,
  • Shaowen Liu,
  • Yanping Li,
  • Ying Pan,
  • Yuan Lu,
  • Rui Hu,
  • Junle Qu,
  • Liwei Liu

DOI
https://doi.org/10.1038/s41377-022-00768-x
Journal volume & issue
Vol. 11, no. 1
pp. 1 – 14

Abstract

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A self-alignment attention-guided residual-in-residual dense generative adversarial networks architecture closes the gap between speed, field of view, and image quality of label-free nonlinear optical microscopes which are notoriously slow.