Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
Conferences > CLEO_QELS > 2021 > FM3L > FM3L.4

Stabilized Depth Cell Imaging through Disordered Fiber System with Semi-supervised Learning Algorithm

Xiaowen Hu, Jian Zhao, Jose Enrique Antonio-Lopez, Youyou Cheng, Rodrigo Amezcua Correa, and Axel Schülzgen

Not Accessible

Your library or personal account may give you access

Abstract

With ground truths only at 0 imaging depth, we reconstruct high-quality cell images through disordered optical fiber system up to 3mm imaging depth by tracing the state of the system using cycle-consistent adversarial networks.

© 2021 The Author(s)

PDF Article  |   Presentation Video
More Like This
Imaging through Disordered Optical Fiber System Using Unsupervised Learning

Xiaowen Hu, Jian Zhao, Jose Enrique Antonio-Lopez, Rodrigo Amezcua Correa, and Axel Schülzgen
STu5P.4 CLEO: Science and Innovations (CLEO:S&I) 2022

Learning-Supported Full-Color Cell Imaging Through Disordered Optical Fiber

Xiaowen Hu, Jian Zhao, Shengli Fan, Jose Enrique Antonio-Lopez, Rodrigo Amezcua Correa, and Axel Schülzgen
SM2L.5 CLEO: Science and Innovations (CLEO:S&I) 2020

Cell Imaging Using Glass-Air Disordered Optical Fiber and Deep Learning Algorithms

Jian Zhao, Yangyang Sun, Jose Enrique Antonio-Lopez, Rodrigo Amezcua Correa, Shuo Pang, and Axel Schulzgen
CW1A.2 Computational Optical Sensing and Imaging (COSI) 2019

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
Imaging through Disordered Optical Fiber System Using Unsupervised Learning

Xiaowen Hu, Jian Zhao, Jose Enrique Antonio-Lopez, Rodrigo Amezcua Correa, and Axel Schülzgen
STu5P.4 CLEO: Science and Innovations (CLEO:S&I) 2022

Learning-Supported Full-Color Cell Imaging Through Disordered Optical Fiber

Xiaowen Hu, Jian Zhao, Shengli Fan, Jose Enrique Antonio-Lopez, Rodrigo Amezcua Correa, and Axel Schülzgen
SM2L.5 CLEO: Science and Innovations (CLEO:S&I) 2020

Cell Imaging Using Glass-Air Disordered Optical Fiber and Deep Learning Algorithms

Jian Zhao, Yangyang Sun, Jose Enrique Antonio-Lopez, Rodrigo Amezcua Correa, Shuo Pang, and Axel Schulzgen
CW1A.2 Computational Optical Sensing and Imaging (COSI) 2019

View More...
Robust Cell Imaging through Anderson Localizing Optical Fiber Based on Deep Learning

Jian Zhao, Yangyang Sun, Jose Enrique Antonio-Lopez, Rodrigo Amezcua Correa, Shuo Pang, and Axel Schülzgen
STh3L.2 CLEO: Science and Innovations (CLEO:S&I) 2019

Bending-Independent Imaging through Glass-Air Disordered Fiber Based on Deep Learning

Jian Zhao, Yangyang Sun, Zheyuan Zhu, Donghui Zheng, Jose Enrique Antonio-Lopez, Rodrigo Amezcua Correa, Shuo Pang, and Axel Schülzgen
CW3B.6 Computational Optical Sensing and Imaging (COSI) 2018

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