A new deep-learning framework is speeding up the process of inspecting additively manufactured metal parts using X-ray computed tomography, or CT, while increasing the accuracy of the results. The ...

X-ray imaging is widely used in areas such as healthcare and forensic science, but existing X-ray machines are unable to capture curved three-dimensional (3D) objects at high resolution, and they are ...

Once you’ve built your own X-ray machine to take 2D images of the insides of stuff, there’s really only one logical next step: building your own computed tomography (CT) scanner to get 3D ...

Shoujun Wang does research on high energy density laser-created plasma physics at Colorado State University’s Laboratory for Advanced Lasers and Extreme Photonics. A research team led by Colorado ...

Dual collaborative robots (cobots) with X-ray source and detector execute raster scanning trajectories for computed laminography inspection of large composite structures. Source (All Images) | ...

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Radalytica (Olomouc, Czech Republic) has developed the unique robotic imaging system “RadalyX”, which combines collaborative robots with state-of-the-art x-ray imaging sensors to significantly expand ...