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.
- Title
- Photodamage Reduction on Harmonic Generation Microscopy at Low-Level Optical Power based on Deep Learning
- Translated title
- Photodamage Reduction on Harmonic Generation Microscopy at Low-Level Optical Power based on Deep Learning
- Creators - without role
- Yi-Jiun Shen - International Intercollegiate Ph.D. Program , National Tsing Hua UniversityEn-Yu Liao - National Taiwan UniversityTsung-Ming Tai - NVIDIA AI Technology Center , NVIDIAYi-Hua Liao - National Taiwan University HospitalChi-Kuang Sun - National Taiwan UniversityCheng-Kuang Lee - NVIDIA AI Technology Center , NVIDIASimon See - NVIDIA AI Technology Center , NVIDIAHung-Wen Chen - International Intercollegiate Ph.D. Program , National Tsing Hua University
- Publication Details
- Optics InfoBase Conference Papers, JW7A.126
- Identifiers
- 9781557528209; 9957768961006774
- Copyright
- © Optica Publishing Group 2021, © 2021 The Author (s)
- Academic Unit
- International Intercollegiate PhD Program, Office of Academic Affairs, National Tsing Hua University
- Language
- English
- Resource Type
- Conference paper