Contrast Optimization Aided by Machine Learning Applied to Virtual 4D-STEM Images

Daniel G. Stroppa*, Roberto dos Reis

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

Original languageEnglish (US)
Pages (from-to)265-266
Number of pages2
JournalMicroscopy and Microanalysis
Volume30
Issue number2024
DOIs
StatePublished - Jul 24 2024
Event82nd Annual Meeting Microscopy Society of America and the 58th Annual Meeting Microanalysis Society, M and M 2024 - Cleveland, United States
Duration: Jul 28 2024Aug 1 2024

Funding

This work made use of the EPIC facility of Northwestern University\u2019s NUANCE Center, which has received support from the SHyNE Resource (NSF ECCS-2025633), the IIN, and Northwestern\u2019s MRSEC program (NSF DMR-2308691). This research was supported in part through the computational resources and staff contributions provided for the Quest high-performance computing facility at Northwestern University which is jointly supported by the Office of the Provost, the Office for Research, and Northwestern University Information Technology.

ASJC Scopus subject areas

  • Instrumentation

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