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.
© 2021 The Author(s)
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