Deep-learning-based cross-modality translation from Stokes image to bright-field contrast.

Journal: Journal of biomedical optics
Published Date:

Abstract

SIGNIFICANCE: Mueller matrix (MM) microscopy has proven to be a powerful tool for probing microstructural characteristics of biological samples down to subwavelength scale. However, in clinical practice, doctors usually rely on bright-field microscopy images of stained tissue slides to identify characteristic features of specific diseases and make accurate diagnosis. Cross-modality translation based on polarization imaging helps to improve the efficiency and stability in analyzing sample properties from different modalities for pathologists.

Authors

  • Shilong Wei
    Tsinghua University, Shenzhen International Graduate School, Shenzhen, China.
  • Lu Si
  • Tongyu Huang
  • Shan Du
    Techlex Food Co., Ltd., Chengdu, China.
  • Yue Yao
  • Yang Dong
  • Hui Ma
    National Centre for Sensor Research and School of Biotechnology, Dublin City University, Collins Avenue, D09 Y5N0, 9 Dublin, Ireland.