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Leveraging advances in hardware and probes, we have combined innovations in optics and algorithms to allow automated single-molecule-based super-resolution imaging at unprecedented throughput. This approach allows us to obtain nanoscale information from large cell populations, bridging the gap between imaging and indirect ensemble methods.
Fine-tuning gene expression is crucial for generating quantitative phenotypic changes and crop improvement. Using CRISPR–Cas base editing and prime editing, we engineered upstream open reading frames — eukaryotic translational control elements — in rice to incrementally downregulate translation to predictable and desired levels.