Science, Space and Technology News 2024
Harvard researchers have innovated a compact, single-shot polarization imaging system that simplifies traditional setups and expands applications in medical, AR, and smartphone technologies, enhancing real-time and machine learning-integrated imaging capabilities. Credit: SciTechDaily.com
Companies have invested heavily to improve color in digital imaging, but wavelength is just one property of light. Polarization — how the electric field oscillates as light propagates — is also rich with information, but polarization imaging remains mostly confined to table-top laboratory settings, relying on traditional optics such as waveplates and polarizers on bulky rotational mounts.
Currently, Mueller matrix imaging requires a complex optical set-up with multiple rotating plates and polarizers that sequentially capture a series of images which are combined to realize a matrix representation of the image. The technique allows for real-time advanced imaging, which is important for applications such as endoscopic surgery, facial recognition in smartphones, and eye tracking in AR/VR systems. It could also be combined with powerful machine-learning algorithms for applications in medical diagnostics, material classification, and pharmaceuticals.
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