Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
Conferences > EUVXRAY > 2024 > JTu4A > JTu4A.26

Unsupervised Deep Learning for Ptychography

Carmelo Grova, Charles S. Bevis, Nicola Giani, Daniel E. Adams, Giulia F. Mancini, and Giovanni Pellegrini

Not Accessible

Your library or personal account may give you access

Abstract

We couple an untrained neural network to a complete physical model that describes the image formation process in Ptychography. We demonstrate high fidelity, full-field image reconstruction with ×5 less diffraction patterns for real-time ultrafast microscopy.

© 2024 The Author(s)

PDF Article
More Like This
Deep Learning Single-Shot Ptychography: Algorithm and Experiment

Omri Wengrowicz, Or Peleg, Tom Zahavy, Barry Loevsky, and Oren Cohen
CF2C.2 Computational Optical Sensing and Imaging (COSI) 2020

A Compact Beamline for High-Throughput, Multiscale, Ultrafast Extreme Ultraviolet Ptychography

Carmelo Grova, Charles S. Bevis, Nicola Giani, Daniel E. Adams, Cristian Svetina, and Giulia F. Mancini
HW3B.3 High Intensity Lasers and High Field Phenomena (HILAS) 2024

Adaptive Scanning in Ptychography through Deep Multi-Objective Reinforcement Learning

M. Schloz, J. Müller, T. C. Pekin, W. Van den Broek, and C. T. Koch
CTu2H.3 Computational Optical Sensing and Imaging (COSI) 2021

View More...
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