Portable Imaging Flow-cytometer Using Deep Learning-based Holographic Image Reconstruction

Zoltán Gӧrӧcs; Miu Tamamitsu; Vittorio Bianco; Patrick Wolf; Shounak Roy; Koyoshi Shindo; Kyrollos Yanny; Yichen Wu; Hatice Ceylan Koydemir; Yair Rivenson; Aydogan Ozcan

doi:10.1364/CLEO_SI.2019.SM4H.2

Portable Imaging Flow-cytometer Using Deep Learning-based Holographic Image Reconstruction

Zoltán Gӧrӧcs
, Miu Tamamitsu
, Vittorio Bianco
, Patrick Wolf
, Shounak Roy
, Koyoshi Shindo
, Kyrollos Yanny
, Yichen Wu
, Hatice Ceylan Koydemir
, Yair Rivenson
, Aydogan Ozcan

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

1 Scopus citations

Abstract

We demonstrate deep learning assisted holographic imaging of waterborne microorganisms in color using a field-portable flow-cytometer capable of high-throughput screening of flowing water samples and report its capabilities using ocean samples containing plankton.

Original language	English
Title of host publication	CLEO
Subtitle of host publication	Science and Innovations, CLEO_SI 2019
Publisher	Optica Publishing Group (formerly OSA)
ISBN (Print)	9781943580576
DOIs	https://doi.org/10.1364/CLEO_SI.2019.SM4H.2
State	Published - 1 Jan 2019
Externally published	Yes
Event	CLEO: Science and Innovations, CLEO_SI 2019 - San Jose, United States Duration: 5 May 2019 → 10 May 2019

Publication series

Name	Optics InfoBase Conference Papers
Volume	Part F129-CLEO_SI 2019
ISSN (Electronic)	2162-2701

Conference

Conference	CLEO: Science and Innovations, CLEO_SI 2019
Country/Territory	United States
City	San Jose
Period	5/05/19 → 10/05/19

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Mechanics of Materials

Access to Document

10.1364/CLEO_SI.2019.SM4H.2

Cite this

Gӧrӧcs, Z., Tamamitsu, M., Bianco, V., Wolf, P., Roy, S., Shindo, K., Yanny, K., Wu, Y., Koydemir, H. C., Rivenson, Y., & Ozcan, A. (2019). Portable Imaging Flow-cytometer Using Deep Learning-based Holographic Image Reconstruction. In CLEO: Science and Innovations, CLEO_SI 2019 (Optics InfoBase Conference Papers; Vol. Part F129-CLEO_SI 2019). Optica Publishing Group (formerly OSA). https://doi.org/10.1364/CLEO_SI.2019.SM4H.2

@inproceedings{fa7c51015fe34c8a91d178a1320f113c,

title = "Portable Imaging Flow-cytometer Using Deep Learning-based Holographic Image Reconstruction",

abstract = "We demonstrate deep learning assisted holographic imaging of waterborne microorganisms in color using a field-portable flow-cytometer capable of high-throughput screening of flowing water samples and report its capabilities using ocean samples containing plankton.",

author = "Zolt{\'a}n Gӧrӧcs and Miu Tamamitsu and Vittorio Bianco and Patrick Wolf and Shounak Roy and Koyoshi Shindo and Kyrollos Yanny and Yichen Wu and Koydemir, \{Hatice Ceylan\} and Yair Rivenson and Aydogan Ozcan",

note = "Publisher Copyright: {\textcopyright} 2019 The Author(s); CLEO: Science and Innovations, CLEO\_SI 2019 ; Conference date: 05-05-2019 Through 10-05-2019",

year = "2019",

month = jan,

day = "1",

doi = "10.1364/CLEO\_SI.2019.SM4H.2",

language = "English",

isbn = "9781943580576",

series = "Optics InfoBase Conference Papers",

publisher = "Optica Publishing Group (formerly OSA)",

booktitle = "CLEO",

}

Gӧrӧcs, Z, Tamamitsu, M, Bianco, V, Wolf, P, Roy, S, Shindo, K, Yanny, K, Wu, Y, Koydemir, HC, Rivenson, Y & Ozcan, A 2019, Portable Imaging Flow-cytometer Using Deep Learning-based Holographic Image Reconstruction. in CLEO: Science and Innovations, CLEO_SI 2019. Optics InfoBase Conference Papers, vol. Part F129-CLEO_SI 2019, Optica Publishing Group (formerly OSA), CLEO: Science and Innovations, CLEO_SI 2019, San Jose, United States, 5/05/19. https://doi.org/10.1364/CLEO_SI.2019.SM4H.2

Portable Imaging Flow-cytometer Using Deep Learning-based Holographic Image Reconstruction. / Gӧrӧcs, Zoltán; Tamamitsu, Miu; Bianco, Vittorio et al.
CLEO: Science and Innovations, CLEO_SI 2019. Optica Publishing Group (formerly OSA), 2019. (Optics InfoBase Conference Papers; Vol. Part F129-CLEO_SI 2019).

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

TY - GEN

T1 - Portable Imaging Flow-cytometer Using Deep Learning-based Holographic Image Reconstruction

AU - Gӧrӧcs, Zoltán

AU - Tamamitsu, Miu

AU - Bianco, Vittorio

AU - Wolf, Patrick

AU - Roy, Shounak

AU - Shindo, Koyoshi

AU - Yanny, Kyrollos

AU - Wu, Yichen

AU - Koydemir, Hatice Ceylan

AU - Rivenson, Yair

AU - Ozcan, Aydogan

PY - 2019/1/1

Y1 - 2019/1/1

N2 - We demonstrate deep learning assisted holographic imaging of waterborne microorganisms in color using a field-portable flow-cytometer capable of high-throughput screening of flowing water samples and report its capabilities using ocean samples containing plankton.

AB - We demonstrate deep learning assisted holographic imaging of waterborne microorganisms in color using a field-portable flow-cytometer capable of high-throughput screening of flowing water samples and report its capabilities using ocean samples containing plankton.

UR - https://www.scopus.com/pages/publications/85068113391

U2 - 10.1364/CLEO_SI.2019.SM4H.2

DO - 10.1364/CLEO_SI.2019.SM4H.2

M3 - Conference contribution

AN - SCOPUS:85068113391

SN - 9781943580576

T3 - Optics InfoBase Conference Papers

BT - CLEO

PB - Optica Publishing Group (formerly OSA)

T2 - CLEO: Science and Innovations, CLEO_SI 2019

Y2 - 5 May 2019 through 10 May 2019

ER -

Portable Imaging Flow-cytometer Using Deep Learning-based Holographic Image Reconstruction

Abstract

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Conference

ASJC Scopus subject areas

Access to Document

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