DetectorChecker
Writing about web page https://detectorchecker.azurewebsites.net/
Funded by an Alan Turing Institute seed grant, Julia Brettschneider and Wilfrid Kendall have worked with Martin O’Reilly, Tomas Lazauskas and Oscar Giles of the Turing Research Engineers Group to produce a web app DetectorChecker which can be used to help assess the quality of digital X-ray detectors based on spatial analysis of dysfunctional pixels.
The source for the web tool is also available from GitHub in the form of an R package coupled with a Shiny application.
A manual is available from the HELP tab on the web app. The PDF file DetectorChecker2.pdf gives a quick overview.
We are still improving and extending DetectorChecker and we very much welcome your feedback.
Wilfrid Kendall
14 Jun 2019 15:27
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Tags: Bad Pixels; Detectorchecker; Web App
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Wilfrid Kendall
The paper describing this webapp is now available (open access!) at:
Brettschneider, Julia A, Oscar T Giles, Wilfrid S Kendall, and Tomas Lazauskas. “DetectorChecker: Analyzing Patterns of Defects in Detector Screens.” Journal of Open Source Software 5, no. 56 (2020): 2474. https://doi.org/10.21105/joss.02474.
23 Jan 2021, 10:05
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