journal article·2021-08Open access

Adaptive Scanning in Ptychography through Deep Reinforcement Learning

Marcel Schloz, Johannes Müller, Thomas Pekin, Wouter Van den Broek, Christoph Koch

Microscopy and Microanalysis· Volume 27· Issue S1

Abstract

Marcel Schloz, Johannes Müller, Thomas Pekin, Wouter Van den Broek, Christoph Koch; Adaptive Scanning in Ptychography through Deep Reinforcement Learning,
Only a short abstract or summary was supplied by the source.
Source: openalex_inverted_index · Quality: short

Research context

OpenAlex topics: Advanced X-ray Imaging Techniques · Pediatric Urology and Nephrology Studies · Pelvic and Acetabular Injuries

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

References (8)

Show source-provided references
1. Overcoming information reduced data and experimentally uncertain parameters in ptychography with regularized optimization10.1364/OE.396925 ↗
2. Empirical evaluation of gated recurrent neural networks on sequence modeling.
3. Spatial tessellations." International Encyclopedia of Geography: People, the Earth, Environment and Technology: People, the Earth
4. Algorithm 247: Radical-inverse quasi-random point sequence.10.1145/355588.365104 ↗
5. Sutton · 2018
6. Optimization of overlap uniformness for ptychography.10.1364/OE.22.012634 ↗
7. Deep learning.10.1038/nature14539 ↗
8. A survey of multi-objective sequential decision-making.10.1613/jair.3987 ↗