Classification of Probe Quality in Ptychography

Authors :: Zichao Wendy Di
Yi Jiang
Dergan Lin
Junjing Deng
Source :: OSA Optical Sensors and Sensing Congress 2021 (AIS, FTS, HISE, SENSORS, ES).
Publication Year :: 2021
Publisher :: Optica Publishing Group, 2021.
Abstract: The large volume of ptychographic dataset presents a challenge on computa- tional resources. We propose an unsupervised method that automatically identifies probes with diminished quality, and allows optimal distribution of resources on the most “informa- tive” dataset.

Subjects :: ComputingMethodologies_PATTERNRECOGNITION
Computer science
business.industry
media_common.quotation_subject
Data_MISCELLANEOUS
Quality (business)
Pattern recognition
Artificial intelligence
business
Ptychography
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Database :: OpenAIRE
Journal :: OSA Optical Sensors and Sensing Congress 2021 (AIS, FTS, HISE, SENSORS, ES)
Accession number :: edsair.doi...........bc79ea78a3fbd732a956ac78d79d3e29
Full Text :: https://doi.org/10.1364/ais.2021.jtu5a.2