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InFluence: An open-source python package to model images captured with direct electron detectors
Date
2023
Abstract
The high detection efficiencies of direct electron detectors facilitate the routine collection of low fluence electron micrographs and diffraction patterns. Low dose and low fluence electron microscopy experiments are the only practical way to acquire useful data from beam sensitive pharmaceutical and biological materials. Appropriate modeling of low fluence images acquired using direct electron detectors is, therefore, paramount for quantitative analysis of the experimental images. We have developed a new open-source Python package to accurately model any single layer direct electron detector for low and high fluence imaging conditions, including a means to validate against experimental data through computation of modulation transfer function and detective quantum efficiency
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Description
Publisher
Oxford University Press
Citation
Microscopy and Microanalysis ozad064, pp. 1-22
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Mangan_2023_Influence.pdf
Adobe PDF, 2.6 MB
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Funding Information
This work was supported by the Physics Department and the Bernal Institute at the University of Limerick, Ireland.