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

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 proceeding › Conference contribution › peer-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 language	English
Title of host publication	2020 Conference on Lasers and Electro-Optics, CLEO 2020 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781943580767
State	Published - May 2020
Externally published	Yes
Event	2020 Conference on Lasers and Electro-Optics, CLEO 2020 - San Jose, United States Duration: 10 May 2020 → 15 May 2020

Publication series

Name	Conference Proceedings - Lasers and Electro-Optics Society Annual Meeting-LEOS
Volume	2020-May
ISSN (Print)	1092-8081

Conference

Conference	2020 Conference on Lasers and Electro-Optics, CLEO 2020
Country/Territory	United States
City	San Jose
Period	10/05/20 → 15/05/20

Bibliographical note

Publisher Copyright:
© 2020 OSA.

Cite this

Wu, Y., Rivenson, Y., Wang, H., Luo, Y., Ben-David, E., Bentolila, L. A., Pritz, C., & Ozcan, A. (2020). Deep-Z: 3D Virtual Refocusing of Fluorescence Images using Deep Learning. In 2020 Conference on Lasers and Electro-Optics, CLEO 2020 - Proceedings Article 9193401 (Conference Proceedings - Lasers and Electro-Optics Society Annual Meeting-LEOS; Vol. 2020-May). Institute of Electrical and Electronics Engineers Inc..

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title = "Deep-Z: 3D Virtual Refocusing of Fluorescence Images using Deep Learning",

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.",

author = "Yichen Wu and Yair Rivenson and Hongda Wang and Yilin Luo and Eyal Ben-David and Bentolila, \{Laurent A.\} and Christian Pritz and Aydogan Ozcan",

note = "Publisher Copyright: {\textcopyright} 2020 OSA.; 2020 Conference on Lasers and Electro-Optics, CLEO 2020 ; Conference date: 10-05-2020 Through 15-05-2020",

year = "2020",

month = may,

language = "אנגלית",

series = "Conference Proceedings - Lasers and Electro-Optics Society Annual Meeting-LEOS",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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Wu, Y, Rivenson, Y, Wang, H, Luo, Y, Ben-David, E, Bentolila, LA, Pritz, C & Ozcan, A 2020, Deep-Z: 3D Virtual Refocusing of Fluorescence Images using Deep Learning. in 2020 Conference on Lasers and Electro-Optics, CLEO 2020 - Proceedings., 9193401, Conference Proceedings - Lasers and Electro-Optics Society Annual Meeting-LEOS, vol. 2020-May, Institute of Electrical and Electronics Engineers Inc., 2020 Conference on Lasers and Electro-Optics, CLEO 2020, San Jose, United States, 10/05/20.

Deep-Z: 3D Virtual Refocusing of Fluorescence Images using Deep Learning. / Wu, Yichen; Rivenson, Yair; Wang, Hongda et al.
2020 Conference on Lasers and Electro-Optics, CLEO 2020 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2020. 9193401 (Conference Proceedings - Lasers and Electro-Optics Society Annual Meeting-LEOS; Vol. 2020-May).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Wu, Yichen

AU - Rivenson, Yair

AU - Wang, Hongda

AU - Luo, Yilin

AU - Ben-David, Eyal

AU - Bentolila, Laurent A.

AU - Pritz, Christian

AU - Ozcan, Aydogan

PY - 2020/5

Y1 - 2020/5

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AB - 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.

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T3 - Conference Proceedings - Lasers and Electro-Optics Society Annual Meeting-LEOS

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PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 10 May 2020 through 15 May 2020

ER -

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

Abstract

Publication series

Conference

Bibliographical note

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