Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
Conferences > FiO > 2023 > FD1 > FD1.10

Improving the Optical Throughput of FTIR Spectrometers via Deep Learning

Zichun Yang, Linwei Shang, Jinjin Wu, Jianhua Yin, and Huijie Wang

Not Accessible

Your library or personal account may give you access

Abstract

With the Jacquinot Stop, Fourier transform infrared spectrometers suffer from a conflict between optical throughput and spectral resolution. This work effectively eliminated the spectral broadening induced by larger stop diameter through deep learning-based numerical recovery.

© 2023 The Author(s)

PDF Article  |   Presentation Video
More Like This
Improvement of strain resolution by deep learning in an OFDR system

Zhaopeng Zhang, Wei Peng, Lingmei Ma, and Chen Zhu
JM7A.111 Frontiers in Optics (FiO) 2023

Fluorescent Lifetime Imaging improved via Deep Learning

Jason T. Smith, Nathan Un, Ruoyang Yao, Nattawut Sinsuebphon, Alena Rudkouskaya, Joseph Mazurkiewicz, Margarida Barroso, Pingkun Yan, and Xavier Intes
NM3C.4 Novel Techniques in Microscopy (NTM) 2019

Improvement of spatiotemporal resolution based on deep learning in 3D photoacoustic tomography

Seongwook Choi, Jinge Yang, Soo Young Lee, Jiwoong Kim, Byullee Park, Seungchul Lee, and Chulhong Kim
126310A European Conference on Biomedical Optics (ECBO) 2023

View More...

Presentation Video

Presentation video access is available to:

  1. Optica Publishing Group subscribers
  2. Technical meeting attendees
  3. Optica members who wish to use one of their free downloads. Please download the article first. After downloading, please refresh this page.

Contact your librarian or system administrator
or
Log in to access Optica Member Subscription or free downloads

More Like This
Improvement of strain resolution by deep learning in an OFDR system

Zhaopeng Zhang, Wei Peng, Lingmei Ma, and Chen Zhu
JM7A.111 Frontiers in Optics (FiO) 2023

Fluorescent Lifetime Imaging improved via Deep Learning

Jason T. Smith, Nathan Un, Ruoyang Yao, Nattawut Sinsuebphon, Alena Rudkouskaya, Joseph Mazurkiewicz, Margarida Barroso, Pingkun Yan, and Xavier Intes
NM3C.4 Novel Techniques in Microscopy (NTM) 2019

Improvement of spatiotemporal resolution based on deep learning in 3D photoacoustic tomography

Seongwook Choi, Jinge Yang, Soo Young Lee, Jiwoong Kim, Byullee Park, Seungchul Lee, and Chulhong Kim
126310A European Conference on Biomedical Optics (ECBO) 2023

View More...
Deep Learning Methods for Sensorless Adaptive Optics

Guozheng Xu, Isabelle Garnreiter, Thomas J. Smart, Michael G. Chambers, Eduard Durech, Ringo Ng, Jennifer Sun, and Marinko V. Sarunic
DTu3A.1 Bio-Optics: Design and Application (BODA) 2023

High-resolution 3D Imaging Flow Cytometry with Fourier Light-Field Microscopy and Deep Learning

Xuanwen Hua, Keyi Han, Biagio Mandracchia, Wenhao Liu, and Shu Jia
JW4A.29 Frontiers in Optics (FiO) 2023

Select as filters
Select Topics Cancel
Top
       
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.
Privacy | Terms of Use