InFluence: An Open-Source Python Package to Model Images Captured with Direct Electron Detectors.
| Autor: | Mangan GL; Physics Department, Faculty of Science and Engineering, University of Limerick, Limerick V94 T9PX, Ireland.; Department of Chemistry, University College London, 20 Gordon Street, London WC1H 0AJ, UK., Moldovan G; Point Electronic Gmbh, Erich-Neuss-Weg 15, Halle (Saale) D-06120, Germany., Stewart A; Department of Chemistry, University College London, 20 Gordon Street, London WC1H 0AJ, UK. |
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| Jazyk: | angličtina |
| Zdroj: | Microscopy and microanalysis : the official journal of Microscopy Society of America, Microbeam Analysis Society, Microscopical Society of Canada [Microsc Microanal] 2023 Jul 25; Vol. 29 (4), pp. 1380-1401. |
| DOI: | 10.1093/micmic/ozad064 |
| Abstrakt: | 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. Competing Interests: Conflict of Interest The authors declare no competing interests. (© The Author(s) 2023. Published by Oxford University Press on behalf of the Microscopy Society of America.) |
| Databáze: | MEDLINE |
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