Deep-Z: 3D Virtual Refocusing of Fluorescence Images using Deep Learning

Yichen Wu, Yair Rivenson, Hongda Wang, Yilin Luo, Eyal Ben-David, Laurent A. Bentolila, Christian Pritz, Aydogan Ozcan

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

2 Scopus citations

Abstract

We demonstrate a deep learning-based 3D virtual refocusing framework for fluorescence microscopy, which extends the imaging depth-of-field by 20-fold and corrects various aberrations, all digitally performed after a 2D image of the sample is captured.

Original languageAmerican English
Title of host publication2020 Conference on Lasers and Electro-Optics, CLEO 2020 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781943580767
StatePublished - May 2020
Externally publishedYes
Event2020 Conference on Lasers and Electro-Optics, CLEO 2020 - San Jose, United States
Duration: 10 May 202015 May 2020

Publication series

NameConference Proceedings - Lasers and Electro-Optics Society Annual Meeting-LEOS
Volume2020-May
ISSN (Print)1092-8081

Conference

Conference2020 Conference on Lasers and Electro-Optics, CLEO 2020
Country/TerritoryUnited States
CitySan Jose
Period10/05/2015/05/20

Bibliographical note

Publisher Copyright:
© 2020 OSA.

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