2018
DOI: 10.1016/j.visinf.2018.04.003
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MultiSciView: Multivariate Scientific X-ray Image Visual Exploration with Cross-Data Space Views

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Cited by 4 publications
(2 citation statements)
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“…The reconstruction resolves many subtle features (such as interpeak oscillations) that are smeared or indistinct in the GISAXS data. In a data-visualization context (Zhong et al, 2018), it also removes the ambiguity of deciding whether a GISAXS peak position should be interpreted with respect to the transmitted or reflected beam. Seemingly complex GISAXS patterns become much simpler to interpret after unwarping.…”
Section: Resultsmentioning
confidence: 99%
“…The reconstruction resolves many subtle features (such as interpeak oscillations) that are smeared or indistinct in the GISAXS data. In a data-visualization context (Zhong et al, 2018), it also removes the ambiguity of deciding whether a GISAXS peak position should be interpreted with respect to the transmitted or reflected beam. Seemingly complex GISAXS patterns become much simpler to interpret after unwarping.…”
Section: Resultsmentioning
confidence: 99%
“…During the experiment, the experimenter should remain engaged, adjusting the objective function and signals whenever necessary. This points to a growing need for fast and powerful data visualization tools, especially those that can easily summarize trends across multi-dimensional datasets [145][146][147][148][149][150][151][152][153].…”
Section: Controlmentioning
confidence: 99%