Cross-modality deep learning brings bright-field microscopy contrast to holography
This work addresses the challenge of improving image quality in microscopy for researchers in biomedical imaging, though it appears incremental as it adapts existing deep learning methods to a specific modality.
The researchers tackled the problem of combining the volumetric imaging capability of holography with the artifact-free contrast of bright-field microscopy, achieving this through deep learning to bring bright-field contrast to holographic images.
Deep learning brings bright-field microscopy contrast to holographic images of a sample volume, bridging the volumetric imaging capability of holography with the speckle- and artifact-free image contrast of bright-field incoherent microscopy.