Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
Conferences > CLEO_AT > 2020 > AW3T > AW3T.1

Deep-Learning-based Computational Biomedical Microscopy with Uncertainty Quantification

Lei Tian, Yujia Xue, Shiyi Cheng, Yunzhe Li, and Yi Ji

Not Accessible

Your library or personal account may give you access

Abstract

I will present several deep learning based computational microscopy techniques including phase microscopy and imaging oximetry. Emphasis will be put on an uncertainty quantification framework for assessing the reliability of these techniques.

© 2020 The Author(s)

PDF Article  |   Presentation Video
More Like This
Resolution Enhancement in Scanning Electron Microscopy using Deep Learning

Kevin de Haan, Zachary S. Ballard, Yair Rivenson, Yichen Wu, and Aydogan Ozcan
STh1M.5 CLEO: Science and Innovations (CLEO:S&I) 2020

Reliable Oral Cancer Classification Framework with Bayesian Deep Learning

Bofan Song, Sumsum Sunny, Shaobai Li, G Keerthi, Sanjana Patrick, Nirza Mukhia, Shubha Gurudath, Subhashini Raghavan, Pramila Mendonca, Tsusennaro, Shirley T Leivon, Trupti Kolur, Vivek Shetty, Vidya Bushan R, Rohan Ramesh, Vijay Pillai, Alben Sigamani, Amritha Suresh, moni Abraham Kuriakose, Praveen Birur, and Rongguang Liang
JM6B.18 Frontiers in Optics (FiO) 2020

Virtual immunofluorescence staining from reflectance microscopy by deep learning

Shiyi Cheng, Sipei Fu, Yumi Mun Kim, Ji Yi, and Lei Tian
FTu2B.3 Frontiers in Optics (FiO) 2020

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
Resolution Enhancement in Scanning Electron Microscopy using Deep Learning

Kevin de Haan, Zachary S. Ballard, Yair Rivenson, Yichen Wu, and Aydogan Ozcan
STh1M.5 CLEO: Science and Innovations (CLEO:S&I) 2020

Reliable Oral Cancer Classification Framework with Bayesian Deep Learning

Bofan Song, Sumsum Sunny, Shaobai Li, G Keerthi, Sanjana Patrick, Nirza Mukhia, Shubha Gurudath, Subhashini Raghavan, Pramila Mendonca, Tsusennaro, Shirley T Leivon, Trupti Kolur, Vivek Shetty, Vidya Bushan R, Rohan Ramesh, Vijay Pillai, Alben Sigamani, Amritha Suresh, moni Abraham Kuriakose, Praveen Birur, and Rongguang Liang
JM6B.18 Frontiers in Optics (FiO) 2020

Virtual immunofluorescence staining from reflectance microscopy by deep learning

Shiyi Cheng, Sipei Fu, Yumi Mun Kim, Ji Yi, and Lei Tian
FTu2B.3 Frontiers in Optics (FiO) 2020

View More...
Deep Learning for Laser-driven Science: An Introduction For Practitioners

Brian K. Spears
HTu3B.1 High Intensity Lasers and High Field Phenomena (HILAS) 2020

Deep Learning Structured Illumination Microscopy

Doron Shterman, Gilad Feinberg, Shai Tsesses, Yochai Blau, and Guy Bartal
AW3T.4 CLEO: Applications and Technology (CLEO:A&T) 2020

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