Electron counting detectors in scanning transmission electron microscopy via hardware signal processing

Jonathan J. P. Peters (), Tiarnan Mullarkey, Emma Hedley, Karin H. Müller, Alexandra Porter, Ali Mostaed and Lewys Jones
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Jonathan J. P. Peters: Trinity College Dublin, the University of Dublin
Tiarnan Mullarkey: Trinity College Dublin, the University of Dublin
Emma Hedley: University of Oxford
Karin H. Müller: Imperial College London
Alexandra Porter: Imperial College London
Ali Mostaed: University of Oxford
Lewys Jones: Trinity College Dublin, the University of Dublin

Nature Communications, 2023, vol. 14, issue 1, 1-9

Abstract: Abstract Transmission electron microscopy is a pivotal instrument in materials and biological sciences due to its ability to provide local structural and spectroscopic information on a wide range of materials. However, the electron detectors used in scanning transmission electron microscopy are often unable to provide quantified information, that is the number of electrons impacting the detector, without exhaustive calibration and processing. This results in arbitrary signal values with slow response times that cannot be used for quantification or comparison to simulations. Here we demonstrate and optimise a hardware signal processing approach to augment electron detectors to perform single electron counting.

Date: 2023
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DOI: 10.1038/s41467-023-40875-w

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