Mangan, Gearoid Liam;
Moldovan, Grigore;
Stewart, Andrew;
(2023)
InFluence: An Open-Source Python Package to Model Images Captured with Direct Electron Detectors.
Microscopy and Microanalysis
, 29
(4)
pp. 1380-1401.
10.1093/micmic/ozad064.
Preview |
Text
Stewart_ozad064.pdf final.pdf Download (2MB) | Preview |
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.
| Type: | Article |
|---|---|
| Title: | InFluence: An Open-Source Python Package to Model Images Captured with Direct Electron Detectors |
| Location: | England |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1093/micmic/ozad064 |
| Publisher version: | https://doi.org/10.1093/micmic/ozad064 |
| Language: | English |
| Additional information: | © The Author(s) 2023. Published by Oxford University Press on behalf of the Microscopy Society of America. This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
| Keywords: | detective quantum efficiency, direct detectors, electron microscopy, low fluence, medipix3, modulation transfer function, Monte Carlo methods, open-source |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Chemistry |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10180022 |
Archive Staff Only
 |
View Item |
