eprintid: 10180022
rev_number: 9
eprint_status: archive
userid: 699
dir: disk0/10/18/00/22
datestamp: 2023-11-01 14:17:10
lastmod: 2023-11-01 14:17:10
status_changed: 2023-11-01 14:17:10
type: article
metadata_visibility: show
sword_depositor: 699
creators_name: Mangan, Gearoid Liam
creators_name: Moldovan, Grigore
creators_name: Stewart, Andrew
title: InFluence: An Open-Source Python Package to Model Images Captured with Direct Electron Detectors
ispublished: pub
divisions: UCL
divisions: B04
divisions: C06
divisions: F56
keywords: detective quantum efficiency, direct detectors, electron microscopy, low fluence, medipix3, modulation transfer function, Monte Carlo methods, open-source
note: © 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
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.
date: 2023-08
date_type: published
publisher: OXFORD UNIV PRESS
official_url: https://doi.org/10.1093/micmic/ozad064
oa_status: green
full_text_type: pub
language: eng
primo: open
primo_central: open_green
verified: verified_manual
elements_id: 2038821
doi: 10.1093/micmic/ozad064
medium: Print
pii: 7224305
lyricists_name: Stewart, Andrew
lyricists_id: ASTEW13
actors_name: Stewart, Andrew
actors_id: ASTEW13
actors_role: owner
funding_acknowledgements: [University of Limerick]
full_text_status: public
publication: Microscopy and Microanalysis
volume: 29
number: 4
pagerange: 1380-1401
pages: 22
event_location: England
issn: 1431-9276
citation:        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 <https://doi.org/10.1093/micmic%2Fozad064>.       Green open access   
 
document_url: https://discovery.ucl.ac.uk/id/eprint/10180022/1/Stewart_ozad064.pdf%20final.pdf