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Expanding the Dimensions of a High Dynamic Range Detector with a Limited Number of Pixels via Scripting
Published online by Cambridge University Press: 05 August 2019
Abstract
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- Type
- Data Acquisition Schemes, Machine Learning Algorithms, and Open Source Software Development for Electron Microscopy
- Information
- Copyright
- Copyright © Microscopy Society of America 2019
References
[6]We acknowledge support for this work from the Air Force Office of Scientific Research (FA9550-17-1-0225. This work was performed in part at the Analytical Instrumentation Facility (AIF) at North Carolina State University, which is supported by the State of North Carolina and the National Science Foundation (award number ECCS-1542015). The AIF is a member of the North Carolina Research Triangle Nanotechnology Network (RTNN), a site in the National Nanotechnology Coordinated Infrastructure (NNCI).Google Scholar