Deep Learning For The Design Of Computational Microscopes
Document Type
Poster Session
Publication Date
2019
Published In
Proceedings Of Imaging And Applied Optics 2019
Abstract
We use deep learning to optimize the end-to-end design of computational microscopes, jointly designing the hardware for data collection and processing software for object reconstruction. With this framework, we optimize the illumination pattern for high space-bandwidth product imaging and 3-dimensional imaging.
Conference
Imagining Systems And Applications 2019
Conference Dates
June 24-27, 2019
Conference Location
Munich, Germany
Recommended Citation
Vidya Ganapati.
(2019).
"Deep Learning For The Design Of Computational Microscopes".
Proceedings Of Imaging And Applied Optics 2019.
DOI: 10.1364/COSI.2019.JW2A.24
https://works.swarthmore.edu/fac-engineering/136