Artificial intelligence aids automatic monitoring of single molecules in cells

Researchers developed a system that can automatically image single molecules within living cells. This system employs learning via neural networks to focus appropriately on samples, search automatically for cells, image fluorescently labeled single molecules, and track their movements. With this system, the team achieved the automated determination of pharmacological parameters and quantitative characterization of the effects of ligands and inhibitors on a target, which has potentially profound implications for biological and medical sciences.

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