Researchers have combined various x-ray imaging technologies to create multi-contrast images that can be used to detect threatening materials such as explosives in thousands of complicated scenarios.
The new approach, which also leverages readily available machine learning procedures for materials classification, could be useful for security screening as well as applications in the life and physical sciences.
"Although more work is needed, this approach could also prove useful for medical imaging," said Partridge."While traditional x-ray imaging struggles to separate healthy from diseased tissue, other studies have suggested that phase contrast imaging might be able to capture textures that could be used to distinguish healthy and benign tissues.
In the new experiment, they significantly scaled up the number of materials investigated and the number of imaging scenarios to better mimic real world situations. They also created a more effective scanning system with a resolution that could be changed by modifying the scanning speed and applied edge illumination phase contrast.
Materials Science Detectors Ultrasound Nanotechnology Biochemistry Electronics Civil Engineering
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