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Multidimensional sampling theory reduces noise to push flat optics boundaries

The article from MSN discusses a breakthrough in optical technology known as multidimensional sampling theory, developed by researchers at the University of California, Los Angeles (UCLA). This theory aims to reduce noise in flat optics, which are thin, lightweight optical devices that could replace traditional bulky lenses in applications like cameras, virtual reality headsets, and more. The innovation involves manipulating light in ways that traditional optics cannot, by using metasurfaces—artificially engineered surfaces that can control light at the nanoscale. The new theory allows for the design of flat optics that can capture high-quality images with less noise, even in low light conditions, by optimizing how light is sampled across multiple dimensions. This advancement could significantly enhance the performance of imaging systems, making them more efficient and versatile, potentially revolutionizing fields from consumer electronics to medical imaging.

Read the Full MSN Article at:
[ https://www.msn.com/en-us/technology/general/multidimensional-sampling-theory-reduces-noise-to-push-flat-optics-boundaries/ar-AA1ypmOC ]