Phase unwrapping using residual neural networks

Gili Dardikman, Natan T. Shaked

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

We demonstrate 2-D phase unwrapping of optically thick objects in quantitative phase microscopy, using a deep neural network trained on data consisting of steep spatial gradients.

Original languageEnglish
Title of host publicationComputational Optical Sensing and Imaging, COSI 2018
PublisherOSA - The Optical Society
ISBN (Electronic)9781557528209
DOIs
StatePublished - 2018
EventComputational Optical Sensing and Imaging, COSI 2018 - Orlando, United States
Duration: 25 Jun 201828 Jun 2018

Publication series

NameOptics InfoBase Conference Papers
VolumePart F99-COSI 2018

Conference

ConferenceComputational Optical Sensing and Imaging, COSI 2018
Country/TerritoryUnited States
CityOrlando
Period25/06/1828/06/18

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