Phys.org  January 25, 2021 Autofocusing is a critical step for high-quality microscopic imaging of specimens, especially for measurements that extend over time covering large fields of view. Hardware-based optical autofocusing methods rely on additional distance sensors that are integrated with a microscopy system; Algorithmic autofocusing methods require axial scanning through the sample volume, leading to longer imaging times, which might also introduce phototoxicity and photobleaching on the sample. Researchers at UCLA have demonstrated a deep learning-based offline autofocusing method, termed Deep-R, that is trained to rapidly and blindly autofocus a single-shot microscopy image of a specimen that is acquired at […]