Cross-modality deep learning brings bright-field microscopy contrast to holography
Yichen Wu, Yilin Luo, Gunvant Chaudhari, Yair Rivenson, Ayfer Calis,, Kevin De Haan, Aydogan Ozcan

TL;DR
This paper introduces a deep learning approach that enhances holographic images with bright-field microscopy contrast, combining volumetric holography imaging with high-quality, artifact-free image clarity.
Contribution
The study presents a novel deep learning method that transfers bright-field contrast to holographic images, improving image quality without additional hardware.
Findings
Enhanced holographic images with bright-field contrast
Reduced speckle and artifacts in holography images
Bridged volumetric holography with bright-field microscopy
Abstract
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.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsDigital Holography and Microscopy · Advanced Optical Imaging Technologies · Advanced Fluorescence Microscopy Techniques
