Quantitative phase maps of live cells classified by transfer learning and generative adversarial network (GAN)

Moran Rubin; Omer Stein; Raja Giryes; Darina Roitshtain; Natan T. Shaked

doi:https://doi.org/10.1364/COSI.2018.CW2E.7

Quantitative phase maps of live cells classified by transfer learning and generative adversarial network (GAN)

Moran Rubin, Omer Stein, Raja Giryes, Darina Roitshtain, Natan T. Shaked

Tel Aviv University

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

Abstract

We suggest a new approach for classification of label-free quantitative phase maps of live cells using only a small training set, based on a combination between generative adversarial networks (GANs) and transfer learning.

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.CW2E.7
State	Published - 2018
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

Conference

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

All Science Journal Classification (ASJC) codes

Electronic, Optical and Magnetic Materials
Mechanics of Materials

Access to Document

https://doi.org/10.1364/COSI.2018.CW2E.7

Cite this

Rubin, M., Stein, O., Giryes, R., Roitshtain, D., & Shaked, N. T. (2018). Quantitative phase maps of live cells classified by transfer learning and generative adversarial network (GAN). 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.CW2E.7

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title = "Quantitative phase maps of live cells classified by transfer learning and generative adversarial network (GAN)",

abstract = "We suggest a new approach for classification of label-free quantitative phase maps of live cells using only a small training set, based on a combination between generative adversarial networks (GANs) and transfer learning.",

author = "Moran Rubin and Omer Stein and Raja Giryes and Darina Roitshtain and Shaked, {Natan T.}",

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",

doi = "https://doi.org/10.1364/COSI.2018.CW2E.7",

language = "الإنجليزيّة",

isbn = "9781943580446",

series = "Optics InfoBase Conference Papers",

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

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

}

Rubin, M, Stein, O, Giryes, R, Roitshtain, D & Shaked, NT 2018, Quantitative phase maps of live cells classified by transfer learning and generative adversarial network (GAN). 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.CW2E.7

Quantitative phase maps of live cells classified by transfer learning and generative adversarial network (GAN). / Rubin, Moran; Stein, Omer; Giryes, Raja 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 - Quantitative phase maps of live cells classified by transfer learning and generative adversarial network (GAN)

AU - Rubin, Moran

AU - Stein, Omer

AU - Giryes, Raja

AU - Roitshtain, Darina

AU - Shaked, Natan T.

PY - 2018

Y1 - 2018

N2 - We suggest a new approach for classification of label-free quantitative phase maps of live cells using only a small training set, based on a combination between generative adversarial networks (GANs) and transfer learning.

AB - We suggest a new approach for classification of label-free quantitative phase maps of live cells using only a small training set, based on a combination between generative adversarial networks (GANs) and transfer learning.

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U2 - https://doi.org/10.1364/COSI.2018.CW2E.7

DO - https://doi.org/10.1364/COSI.2018.CW2E.7

M3 - منشور من مؤتمر

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 -

Quantitative phase maps of live cells classified by transfer learning and generative adversarial network (GAN)

Abstract

Publication series

Conference

All Science Journal Classification (ASJC) codes

Access to Document

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