Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
Conferences > Microscopy > 2020 > MM3A > MM3A.3

Deep Learning-Based Virtual Staining of Unlabeled Tissue Samples

Kevin de Haan, Yair Rivenson, Zhensong Wei, Hongda Wang, Tairan Liu, W. Dean Wallace, and Aydogan Ozcan

Not Accessible

Your library or personal account may give you access

Abstract

We present a deep learning-based framework to perform virtual histological staining of label-free tissue samples. This framework is effective for various tissue-stain combinations using autofluorescence or quantitative phase images as input to trained neural networks.

© 2020 The Author(s)

PDF Article  |   Presentation Video
More Like This
Neural network-based multiplexed and micro-structured virtual staining of unlabeled tissue

Yijie Zhang, Kevin de Haan, Jingxi Li, Yair Rivenson, and Aydogan Ozcan
ATh2I.2 CLEO: Applications and Technology (CLEO:A&T) 2022

Deep Learning-based Virtual Immunohistochemical HER2 staining of Label-Free Breast Tissue

Bijie Bai, Hongda Wang, Yuzhu Li, Kevin de Haan, Francesco Colonnese, Yujie Wan, Jingyi Zuo, Ngan B. Doan, Xiaoran Zhang, Yijie Zhang, Jingxi Li, Wenjie Dong, Morgan Angus Darrow, Elham Kamangar, Han Sung Lee, Yair Rivenson, and Aydogan Ozcan
SM5O.2 CLEO: Science and Innovations (CLEO:S&I) 2022

Deep learning-based transformation of H&E stained tissue into special stains

Kevin de Haan, Yijie Zhang, Jonathan E. Zuckerman, Tairan Liu, Yair Rivenson, W. Dean Wallace, and Aydogan Ozcan
ATh2I.4 CLEO: Applications and Technology (CLEO:A&T) 2022

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
Neural network-based multiplexed and micro-structured virtual staining of unlabeled tissue

Yijie Zhang, Kevin de Haan, Jingxi Li, Yair Rivenson, and Aydogan Ozcan
ATh2I.2 CLEO: Applications and Technology (CLEO:A&T) 2022

Deep Learning-based Virtual Immunohistochemical HER2 staining of Label-Free Breast Tissue

Bijie Bai, Hongda Wang, Yuzhu Li, Kevin de Haan, Francesco Colonnese, Yujie Wan, Jingyi Zuo, Ngan B. Doan, Xiaoran Zhang, Yijie Zhang, Jingxi Li, Wenjie Dong, Morgan Angus Darrow, Elham Kamangar, Han Sung Lee, Yair Rivenson, and Aydogan Ozcan
SM5O.2 CLEO: Science and Innovations (CLEO:S&I) 2022

Deep learning-based transformation of H&E stained tissue into special stains

Kevin de Haan, Yijie Zhang, Jonathan E. Zuckerman, Tairan Liu, Yair Rivenson, W. Dean Wallace, and Aydogan Ozcan
ATh2I.4 CLEO: Applications and Technology (CLEO:A&T) 2022

View More...
Deep Learning Enables Virtual Histological Staining of Label-free Tissue Sections Using Auto-fluorescence

Yair Rivenson, Hongda Wang, Kevin de Haan, Zhensong Wei, and Aydogan Ozcan
ATu4K.6 CLEO: Applications and Technology (CLEO:A&T) 2019

Deep-Learning-Based Virtual H&E Staining Using Total-Absorption Photoacoustic Remote Sensing (TA-PARS)

Marian Boktor, Benjamin Ecclestone, Vlad Pekar, Deepak Dinakaran, John R. Mackey, Paul Fieguth, and Parsin Haji Reza
MS4A.3 Microscopy Histopathology and Analytics (Microscopy) 2022

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