U-net based isotropic phase retrieval with quantitative differential phase contrast microscopy

An Cin Li; Ying Ju Chen; Hsuan Ming Huang; Yuan Luo

U-net based isotropic phase retrieval with quantitative differential phase contrast microscopy

An Cin Li, Ying Ju Chen, Hsuan Ming Huang, Yuan Luo

Research Center for Radiation Medicine

National Taiwan University

Research output: Contribution to journal › Conference article › peer-review

1 Scopus citations

Abstract

IDPC imaging with a half-circle pupil faces the problem of demanding multiple measurements for isotropic phase retrieval. Here, deep learning method is applied to deal with slow data acquisition process and generate accurate phase from the least number of measurements.

Original language	English
Article number	JW7A.19
Journal	Optics InfoBase Conference Papers
State	Published - 2021
Event	Laser Science, LS 2021 - Part of Frontiers in Optics, FiO 2021 - Virtual, Online, United States Duration: 01 11 2021 → 04 11 2021

Bibliographical note

Publisher Copyright:
© Optica Publishing Group 2021, © 2021 The Author (s)

Cite this

@article{949de6f2340c49769d95f447ca821dcb,

title = "U-net based isotropic phase retrieval with quantitative differential phase contrast microscopy",

abstract = "IDPC imaging with a half-circle pupil faces the problem of demanding multiple measurements for isotropic phase retrieval. Here, deep learning method is applied to deal with slow data acquisition process and generate accurate phase from the least number of measurements.",

author = "Li, {An Cin} and Chen, {Ying Ju} and Huang, {Hsuan Ming} and Yuan Luo",

note = "Publisher Copyright: {\textcopyright} Optica Publishing Group 2021, {\textcopyright} 2021 The Author (s); Laser Science, LS 2021 - Part of Frontiers in Optics, FiO 2021 ; Conference date: 01-11-2021 Through 04-11-2021",

year = "2021",

language = "英语",

journal = "Optics InfoBase Conference Papers",

issn = "2162-2701",

}

TY - JOUR

T1 - U-net based isotropic phase retrieval with quantitative differential phase contrast microscopy

AU - Li, An Cin

AU - Chen, Ying Ju

AU - Huang, Hsuan Ming

AU - Luo, Yuan

PY - 2021

Y1 - 2021

N2 - IDPC imaging with a half-circle pupil faces the problem of demanding multiple measurements for isotropic phase retrieval. Here, deep learning method is applied to deal with slow data acquisition process and generate accurate phase from the least number of measurements.

AB - IDPC imaging with a half-circle pupil faces the problem of demanding multiple measurements for isotropic phase retrieval. Here, deep learning method is applied to deal with slow data acquisition process and generate accurate phase from the least number of measurements.

UR - http://www.scopus.com/inward/record.url?scp=85130221036&partnerID=8YFLogxK

M3 - 会议文章

AN - SCOPUS:85130221036

SN - 2162-2701

JO - Optics InfoBase Conference Papers

JF - Optics InfoBase Conference Papers

M1 - JW7A.19

T2 - Laser Science, LS 2021 - Part of Frontiers in Optics, FiO 2021

Y2 - 1 November 2021 through 4 November 2021

ER -

U-net based isotropic phase retrieval with quantitative differential phase contrast microscopy

Abstract

Bibliographical note

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