2009
DOI: 10.1016/j.ultramic.2008.11.023
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A high-speed area detector for novel imaging techniques in a scanning transmission electron microscope

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Cited by 29 publications
(23 citation statements)
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“…Furthermore, parallel data acquisition would allow for minimizing drift between acquisitions that makes locating the same area difficult in the absence of discernable features such as edges, and to avoid the beam damage caused by multiple exposures. To that end, the development and implementation of segmented 13 26 27 28 or pixelated HAADF detectors 29 30 is paramount and will make it easier to implement VA-HAADF for any number of detectors and angular ranges. It is important, however, that these new generation of detectors have response characteristics that meets the requirements for quantitative HAADF-STEM 31 .…”
Section: Discussionmentioning
confidence: 99%
“…Furthermore, parallel data acquisition would allow for minimizing drift between acquisitions that makes locating the same area difficult in the absence of discernable features such as edges, and to avoid the beam damage caused by multiple exposures. To that end, the development and implementation of segmented 13 26 27 28 or pixelated HAADF detectors 29 30 is paramount and will make it easier to implement VA-HAADF for any number of detectors and angular ranges. It is important, however, that these new generation of detectors have response characteristics that meets the requirements for quantitative HAADF-STEM 31 .…”
Section: Discussionmentioning
confidence: 99%
“…As discussed in the previous sections Medipix2 (and similar hybrid detectors) have a number of attractive properties, including a high DQE, even at very low-dose rates, a noiseless readout and high dynamic range which make them attractive for many experiments (Faruqi & Cattermole, 2005; Typke et al 2007; Caswell et al 2009; van Gastel et al 2009; Glaeser et al 2011). These properties are extremely useful, for example, if an image is to be collected by summing a number of shorter exposure images; since the readout is essentially noiseless the summation adds only the signal without adding extra noise from each image.…”
Section: Detectorsmentioning
confidence: 99%
“…First, the lattice orientations of the adjoining grains are measured through orientation imaging microscopy either in the scanning (Schwartz et al, 2009) or the transmission mode (Trimby, 2012;Caswell et al, 2009). The misorientation matrix M is then computed and AE is determined by the least positive integer such that AEM is an integral matrix.…”
mentioning
confidence: 99%