Photodamage Reduction on Harmonic Generation Microscopy at Low-Level Optical Power based on Deep Learning

Yi Jiun Shen; En Yu Liao; Tsung Ming Tai; Yi Hua Liao; Chi Kuang Sun; Cheng Kuang Lee; Simon See; Hung Wen Chen

Photodamage Reduction on Harmonic Generation Microscopy at Low-Level Optical Power based on Deep Learning

Yi Jiun Shen
, En Yu Liao
, Tsung Ming Tai
, Yi Hua Liao
, Chi Kuang Sun
, Cheng Kuang Lee
, Simon See
, Hung Wen Chen^*

^*Corresponding author for this work

Department of Electrical Engineering

National Tsing Hua University
National Taiwan University
NVIDIA
Industrial Technology Research Institute of Taiwan

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

Abstract

We demonstrated a power enhancement method in harmonic generation microscopy based on deep learning to reduce the optical input power and consequently reduce the risk of photodamage.

Original language	English
Article number	JW7A.126
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{d8a284f4ede7477db08bab477aa9eefa,

title = "Photodamage Reduction on Harmonic Generation Microscopy at Low-Level Optical Power based on Deep Learning",

abstract = "We demonstrated a power enhancement method in harmonic generation microscopy based on deep learning to reduce the optical input power and consequently reduce the risk of photodamage.",

author = "Shen, \{Yi Jiun\} and Liao, \{En Yu\} and Tai, \{Tsung Ming\} and Liao, \{Yi Hua\} and Sun, \{Chi Kuang\} and Lee, \{Cheng Kuang\} and Simon See and Chen, \{Hung Wen\}",

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 - Photodamage Reduction on Harmonic Generation Microscopy at Low-Level Optical Power based on Deep Learning

AU - Shen, Yi Jiun

AU - Liao, En Yu

AU - Tai, Tsung Ming

AU - Liao, Yi Hua

AU - Sun, Chi Kuang

AU - Lee, Cheng Kuang

AU - See, Simon

AU - Chen, Hung Wen

PY - 2021

Y1 - 2021

N2 - We demonstrated a power enhancement method in harmonic generation microscopy based on deep learning to reduce the optical input power and consequently reduce the risk of photodamage.

AB - We demonstrated a power enhancement method in harmonic generation microscopy based on deep learning to reduce the optical input power and consequently reduce the risk of photodamage.

UR - https://www.scopus.com/pages/publications/85130220721

M3 - 会议文章

AN - SCOPUS:85130220721

SN - 2162-2701

JO - Optics InfoBase Conference Papers

JF - Optics InfoBase Conference Papers

M1 - JW7A.126

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

Y2 - 1 November 2021 through 4 November 2021

ER -

Photodamage Reduction on Harmonic Generation Microscopy at Low-Level Optical Power based on Deep Learning

Abstract

Bibliographical note

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