Researchers convert 2D images into 3D using deep learning

A UCLA research team has devised a technique that extends the capabilities of fluorescence microscopy, which allows scientists to precisely label parts of living cells and tissue with dyes that glow under special lighting. The researchers use artificial intelligence to turn two-dimensional images into stacks of virtual three-dimensional slices showing activity inside organisms.

Prof. Aydogan Ozcan of the Electrical & Computer Engineering Department is the senior author of this study, which was published in Nature Methods.

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