10,000 times faster than traditional methods: New computational framework automatically discovers experimental designs in microscopy

For human researchers, it takes many years of work to discover new super-resolution microscopy techniques. The number of possible optical configurations of a microscope — for example, where to place mirrors or lenses — is enormous. Researchers have now developed an artificial intelligence (AI) framework which autonomously discovers new experimental designs in microscopy. The framework, called XLuminA, performs optimizations 10,000 times faster than well-established methods.
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