Deep learning-based virtual refocusing of fluorescence microscopy images for neuron imaging in 3d

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

*Corresponding author for this work

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

Abstract

We demonstrate a deep neural network-based virtual refocusing method for fluorescence microscopy, which enables accurate tracking of C. elegans neuron structure and activity in 3D using an image acquired at a single focal plane.

Original languageEnglish
Title of host publicationOptics and the Brain, BRAIN 2020
PublisherOptica Publishing Group (formerly OSA)
ISBN (Print)9781943580743
DOIs
StatePublished - 2020
Externally publishedYes
EventOptics and the Brain, BRAIN 2020 - Washington, United States
Duration: 20 Apr 202023 Apr 2020

Publication series

NameOptics InfoBase Conference Papers
VolumePart F176-BRAIN-2020
ISSN (Electronic)2162-2701

Conference

ConferenceOptics and the Brain, BRAIN 2020
Country/TerritoryUnited States
CityWashington
Period20/04/2023/04/20

Bibliographical note

Publisher Copyright:
© OSA 2020 © 2020 The Author(s)

Fingerprint

Dive into the research topics of 'Deep learning-based virtual refocusing of fluorescence microscopy images for neuron imaging in 3d'. Together they form a unique fingerprint.

Cite this