This work will investigate the imaging capabilities of the Multix multi-channel linear array detector and its
potential suitability for big-data industrial and security applications versus that which is currently deployed.
Multi-channel imaging data holds huge promise in not only finer resolution in materials classification, but also in
materials identification and elevated data quality for various radiography and computed tomography applications.
The potential pitfall is the signal quality contained within individual channels as well as the required exposure
and acquisition time necessary to obtain images comparable to those of traditional configurations. This work will
present results of these detector technologies as they pertain to a subset of materials of interest to the industrial
and security communities; namely, water, copper, lead, polyethylene, and tin.
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