Deep Learning-enabled Computational Microscopy
- Abstract number
- 3
- DOI
- 10.22443/rms.mmc2021.3
- Corresponding Email
- [email protected]
- Session
- Plenary Talk: Dr Aydogan Ozcan - Deep Learning-enabled Computational Microscopy
- Authors
- Dr. Aydogan Ozcan (1)
- Affiliations
-
1. UCLA
- Keywords
Computational microscopy, Deep learning microscopy, Deep neural networks, 3D microscopy
- Abstract text
Deep learning is a class of machine learning techniques that uses multi-layered artificial neural networks for automated analysis of signals or data. Beyond its main stream applications such as the recognition and labeling of specific features in images, deep learning holds numerous opportunities for revolutionizing microscopic image formation and reconstruction. In this presentation, I will provide an overview of some of our recent work on the use of deep neural networks in advancing computational microscopy systems, also covering their biomedical applications.