Search Results for author: Christopher Mann

Found 2 papers, 1 papers with code

DH-GAN: A Physics-driven Untrained Generative Adversarial Network for 3D Microscopic Imaging using Digital Holography

no code implementations25 May 2022 Xiwen Chen, Hao Wang, Abolfazl Razi, Michael Kozicki, Christopher Mann

Digital holography is a 3D imaging technique by emitting a laser beam with a plane wavefront to an object and measuring the intensity of the diffracted waveform, called holograms.

Generative Adversarial Network

Deep DIH : Statistically Inferred Reconstruction of Digital In-Line Holography by Deep Learning

1 code implementation25 Apr 2020 Huayu Li, Xiwen Chen, Haiyu Wu, Zaoyi Chi, Christopher Mann, Abolfazl Razi

Recently, end-to-end deep learning-based methods have been utilized to reconstruct the object wavefront (as a surrogate for the 3D structure of the object) directly from a single-shot in-line digital hologram.

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