Researchers convert 2D images into 3D using deep learning

Very impressive and could be very useful!

"hat their framework, called “Deep-Z,” was able to fix errors or aberrations in images, such as when a sample is tilted or curved. Further, they demonstrated that the system could take 2D images from one type of microscope and virtually create 3D images of the sample as if they were obtained by another, more advanced microscope. ... “This is a very powerful new method that is enabled by deep learning to perform 3D imaging of live specimens, with the least exposure to light, which can be toxic to samples ... applied Deep-Z to images of C. elegans, a roundworm ... Converting a 2D movie of a worm to 3D, frame by frame, the researchers were able to track the activity of individual neurons within the worm body. And starting with one or two 2D images of C. elegans taken at different depths, Deep-Z produced virtual 3D images that allowed the team to identify individual neurons within the worm, matching a scanning microscope’s 3D output, except with much less light exposure to the living organism"

Researchers convert 2D images into 3D using deep learning | UCLA: The fluorescence microscopy technique is expected to benefit studies in life sciences and biology.