Method and system for phase recovery and holographic image reconstruction using a neural network
US11514325B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 20, 2019 |
| Grant date | Nov 29, 2022 |
| Priority date | — |
| Expiry date | Sep 29, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG03H2226/02
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method of performing phase retrieval and holographic image reconstruction of an imaged sample includes obtaining a single hologram intensity image of the sample using an imaging device. The single hologram intensity image is back-propagated to generate a real input image and an imaginary input image of the sample with image processing software, wherein the real input image and the imaginary input image contain twin-image and/or interference-related artifacts. A trained deep neural network is provided that is executed by the image processing software using one or more processors and configured to receive the real input image and the imaginary input image of the sample and generate an output real image and an output imaginary image in which the twin-image and/or interference-related artifacts are substantially suppressed or eliminated. In some embodiments, the trained deep neural network simultaneously achieves phase-recovery and auto-focusing significantly extending the DOF of holographic image reconstruction.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.