• Smart algorithm cleans up images by searching for clues buried in noise

    Credit: Texas A&M University 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 visual details of biological specimens,” said Shuiwang Ji, associate professor in the Department of Computer…