Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Biopsy-free Virtual Histology of Skin Using Reflectance Confocal Microscopy and Deep Learning

Not Accessible

Your library or personal account may give you access

Abstract

We report in vivo virtual histology of skin without a biopsy, where deep learning is used to virtually stain tissue and generate hematoxylin and eosin (H&E)-like microscopic images of skin using a reflectance confocal microscope.

© 2022 The Author(s)

PDF Article  |   Presentation Video
More Like This
Virtual histological stain transformations through cascaded deep neural networks

Xilin Yang, Bijie Bai, Yuzhu Li, Yijie Zhang, Tairan Liu, Kevin de Haan, and Aydogan Ozcan
FTh3B.1 Frontiers in Optics (FiO) 2022

Deep learning-enabled realistic virtual histology with ultraviolet scattering and photoacoustic remote sensing microscopy

Matthew T. Martell, Nathaniel J.M. Haven, Ewan A. McAlister, Brendon S. Restall, Sveta Silverman, Lashan Peiris, Benjamin A. Adam, Jean Deschenes, Xingyu Li, and Roger J. Zemp
MS4A.2 Microscopy Histopathology and Analytics (Microscopy) 2022

Ultraviolet photoacoustic remote sensing and scattering microscopy for CycleGAN-enabled realistic virtual histology

Matthew T. Martell, Nathaniel J.M. Haven, Ewan A. McAlister, Brendon S. Restall, Brendyn D. Cikaluk, Rohan Mittal, Benjamin A. Adam, Nadia Giannakopoulos, Lashan Peiris, Sveta Silverman, Jean Deschenes, Xingyu Li, and Roger J. Zemp
126310C European Conference on Biomedical Optics (ECBO) 2023

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
Virtual histological stain transformations through cascaded deep neural networks

Xilin Yang, Bijie Bai, Yuzhu Li, Yijie Zhang, Tairan Liu, Kevin de Haan, and Aydogan Ozcan
FTh3B.1 Frontiers in Optics (FiO) 2022

Deep learning-enabled realistic virtual histology with ultraviolet scattering and photoacoustic remote sensing microscopy

Matthew T. Martell, Nathaniel J.M. Haven, Ewan A. McAlister, Brendon S. Restall, Sveta Silverman, Lashan Peiris, Benjamin A. Adam, Jean Deschenes, Xingyu Li, and Roger J. Zemp
MS4A.2 Microscopy Histopathology and Analytics (Microscopy) 2022

Ultraviolet photoacoustic remote sensing and scattering microscopy for CycleGAN-enabled realistic virtual histology

Matthew T. Martell, Nathaniel J.M. Haven, Ewan A. McAlister, Brendon S. Restall, Brendyn D. Cikaluk, Rohan Mittal, Benjamin A. Adam, Nadia Giannakopoulos, Lashan Peiris, Sveta Silverman, Jean Deschenes, Xingyu Li, and Roger J. Zemp
126310C European Conference on Biomedical Optics (ECBO) 2023

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

A Topical Fluorescent Analogue for Virtual Hematoxylin and Eosin Histology in Point-of-Care Ex Vivo Microscopy

Katherine Elfer, Andrew Sholl, Christopher Miller, and J. Quincy Brown
95370K European Conference on Biomedical Optics (ECBO) 2015

Select as filters


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