Deep learning enhances mobile microscopy

Hongda Wang; Yair Rivenson; Hatice Ceylan Koydemir; Zhensong Wei; Zhengshuang Ren; Harun Günaydin; Yibo Zhang; Zoltán Göröcs; Kyle Liang; Derek Tseng; Aydogan Ozcan

doi:10.1364/COSI.2018.CTH1B.2

Deep learning enhances mobile microscopy

Hongda Wang
, Yair Rivenson
, Hatice Ceylan Koydemir
, Zhensong Wei
, Zhengshuang Ren
, Harun Günaydin
, Yibo Zhang
, Zoltán Göröcs
, Kyle Liang
, Derek Tseng
, Aydogan Ozcan

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

Abstract

We introduce a deep learning-based approach that uses a neural network to enhance the image resolution and color accuracy of a smartphone microscope, mitigating the gap between lowcost mobile imaging devices and high-end benchtop microscopes.

Original language	English
Title of host publication	Computational Optical Sensing and Imaging, COSI 2018
Publisher	Optica Publishing Group (formerly OSA)
ISBN (Print)	9781943580446
DOIs	https://doi.org/10.1364/COSI.2018.CTH1B.2
State	Published - 1 Jan 2018
Externally published	Yes
Event	Computational Optical Sensing and Imaging, COSI 2018 - Orlando, United States Duration: 25 Jun 2018 → 28 Jun 2018

Publication series

Name	Optics InfoBase Conference Papers
Volume	Part F99-COSI 2018
ISSN (Electronic)	2162-2701

Conference

Conference	Computational Optical Sensing and Imaging, COSI 2018
Country/Territory	United States
City	Orlando
Period	25/06/18 → 28/06/18

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Mechanics of Materials

Access to Document

10.1364/COSI.2018.CTH1B.2

Cite this

Wang, H., Rivenson, Y., Koydemir, H. C., Wei, Z., Ren, Z., Günaydin, H., Zhang, Y., Göröcs, Z., Liang, K., Tseng, D., & Ozcan, A. (2018). Deep learning enhances mobile microscopy. In Computational Optical Sensing and Imaging, COSI 2018 (Optics InfoBase Conference Papers; Vol. Part F99-COSI 2018). Optica Publishing Group (formerly OSA). https://doi.org/10.1364/COSI.2018.CTH1B.2

@inproceedings{76c75d73bb454bf2abbf7a96e48bc185,

title = "Deep learning enhances mobile microscopy",

abstract = "We introduce a deep learning-based approach that uses a neural network to enhance the image resolution and color accuracy of a smartphone microscope, mitigating the gap between lowcost mobile imaging devices and high-end benchtop microscopes.",

author = "Hongda Wang and Yair Rivenson and Koydemir, \{Hatice Ceylan\} and Zhensong Wei and Zhengshuang Ren and Harun G{\"u}naydin and Yibo Zhang and Zolt{\'a}n G{\"o}r{\"o}cs and Kyle Liang and Derek Tseng and Aydogan Ozcan",

note = "Publisher Copyright: {\textcopyright} 2018 The Author(s).; Computational Optical Sensing and Imaging, COSI 2018 ; Conference date: 25-06-2018 Through 28-06-2018",

year = "2018",

month = jan,

day = "1",

doi = "10.1364/COSI.2018.CTH1B.2",

language = "English",

isbn = "9781943580446",

series = "Optics InfoBase Conference Papers",

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

booktitle = "Computational Optical Sensing and Imaging, COSI 2018",

}

Wang, H, Rivenson, Y, Koydemir, HC, Wei, Z, Ren, Z, Günaydin, H, Zhang, Y, Göröcs, Z, Liang, K, Tseng, D & Ozcan, A 2018, Deep learning enhances mobile microscopy. in Computational Optical Sensing and Imaging, COSI 2018. Optics InfoBase Conference Papers, vol. Part F99-COSI 2018, Optica Publishing Group (formerly OSA), Computational Optical Sensing and Imaging, COSI 2018, Orlando, United States, 25/06/18. https://doi.org/10.1364/COSI.2018.CTH1B.2

Deep learning enhances mobile microscopy. / Wang, Hongda; Rivenson, Yair; Koydemir, Hatice Ceylan et al.
Computational Optical Sensing and Imaging, COSI 2018. Optica Publishing Group (formerly OSA), 2018. (Optics InfoBase Conference Papers; Vol. Part F99-COSI 2018).

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

TY - GEN

T1 - Deep learning enhances mobile microscopy

AU - Wang, Hongda

AU - Rivenson, Yair

AU - Koydemir, Hatice Ceylan

AU - Wei, Zhensong

AU - Ren, Zhengshuang

AU - Günaydin, Harun

AU - Zhang, Yibo

AU - Göröcs, Zoltán

AU - Liang, Kyle

AU - Tseng, Derek

AU - Ozcan, Aydogan

PY - 2018/1/1

Y1 - 2018/1/1

N2 - We introduce a deep learning-based approach that uses a neural network to enhance the image resolution and color accuracy of a smartphone microscope, mitigating the gap between lowcost mobile imaging devices and high-end benchtop microscopes.

AB - We introduce a deep learning-based approach that uses a neural network to enhance the image resolution and color accuracy of a smartphone microscope, mitigating the gap between lowcost mobile imaging devices and high-end benchtop microscopes.

UR - https://www.scopus.com/pages/publications/85051253834

U2 - 10.1364/COSI.2018.CTH1B.2

DO - 10.1364/COSI.2018.CTH1B.2

M3 - Conference contribution

AN - SCOPUS:85051253834

SN - 9781943580446

T3 - Optics InfoBase Conference Papers

BT - Computational Optical Sensing and Imaging, COSI 2018

PB - Optica Publishing Group (formerly OSA)

T2 - Computational Optical Sensing and Imaging, COSI 2018

Y2 - 25 June 2018 through 28 June 2018

ER -

Deep learning enhances mobile microscopy

Abstract

Publication series

Conference

ASJC Scopus subject areas

Access to Document

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Cite this