Adaptive Scanning in Ptychography through Deep Multi-Objective Reinforcement Learning

M. Schloz; J. Müller; T. C. Pekin; W. Van den Broek; C. T. Koch

doi:10.1364/COSI.2021.CTu2H.3

OSA Imaging and Applied Optics Congress 2021 (3D, COSI, DH, ISA, pcAOP)
OSA Technical Digest (Optica Publishing Group, 2021),
paper CTu2H.3
•https://doi.org/10.1364/COSI.2021.CTu2H.3

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

Computational Optical Sensing and Imaging 2021

Washington, DC United States
19–23 July 2021
ISBN: 978-1-943580-89-7

From the session
Ptychography I (CTu2H)

Not Accessible

Your library or personal account may give you access

Get PDF
Email
Share
Get Citation
Copy Citation Text
M. Schloz, J. Müller, T. C. Pekin, W. Van den Broek, and C. T. Koch, "Adaptive Scanning in Ptychography through Deep Multi-Objective Reinforcement Learning," in OSA Imaging and Applied Optics Congress 2021 (3D, COSI, DH, ISA, pcAOP), H. Hua, B. Javidi, M. Martinez-Corral, O. Matoba, A. Stern, S. Thibault, T. Alieva, J. Ke, F. Willomitzer, F. Okten, P. Silveira, P. Banerjee, E. Stoykova, D. Chu, J. Park, F. Imai, C. Joo, M. Digman, D. Gardner, S. Gladysz, D. LeMaster, S. Basu, and O. Korotkova, eds., OSA Technical Digest (Optica Publishing Group, 2021), paper CTu2H.3.

Export Citation
- BibTex
- Endnote (RIS)
- HTML
- Plain Text
Get Video
Citation alert
Save article

Abstract

This paper presents a method that allows to improve the quality of ptycho- graphic reconstructions at a reduced dose by adaptively scanning the specimen and thus providing only local information redundancy in regions of highest importance.

PDF Article | Presentation Video

More Like This

Deep Reinforcement Learning-based Spectrum Assignment with Multi-metric Reward Function and Assignable Boundary Slot Mask

Masayuki Shimoda and Takafumi Tanaka
M4B.3 Optoelectronics and Communications Conference (OECC) 2021

Randomized Probe Imaging through Deep K-Learning

Zhen Guo, Abraham Levitan, George Barbastathis, and Riccardo Comin
CTh7A.6 Computational Optical Sensing and Imaging (COSI) 2021

Three-dimensional reconstruction of integrated circuits by single-angle X-ray ptychography with machine learning

Iksung Kang, Yudong Yao, Junjing Deng, Jeffrey Klug, Stefan Vogt, Steven Honig, and George Barbastathis
CTu6A.4 Computational Optical Sensing and Imaging (COSI) 2021

Previous Article Next Article

Presentation Video

Presentation video access is available to:

Optica Publishing Group subscribers
Technical meeting attendees
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