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Smart Algorithm Cleans Up Images By Searching For Clues Buried In Noise To enter the world of the fantastically small, the main currency is either a ray of light or electrons. Strong beams, which yield clearer images, are damaging to specimens. On the other hand, weak beams can give noisy, low-resolution images. In a new study published in  Nature Machine Intelligence, researchers at Texas A&M University describe a machine learning-based algorithm that can reduce graininess in low-resolution images and reveal new details that were otherwise buried within the noise. “Images taken with low-...

 E-Mail To enter the world of the fantastically small, the main currency is either a ray of light or electrons. Strong beams, which yield clearer images, are damaging to specimens. On the other hand, weak beams can give noisy, low-resolution images. In a new study published in Nature Machine Intelligence, researchers at Texas A&M University describe a machine learning-based algorithm that can reduce graininess in low-resolution images and reveal new details that were otherwise buried within the noise. "Images taken with low-powered beams can be noisy, which can hide interesting and valuable...