Deep Learning-Enabled Modality Transfer Between Independent Microscopes for High-Throughput Imaging

ArXi:2403.18026v2 Announce Type: replace-cross High-throughput biological imaging is often constrained by a trade-off between acquisition speed and image quality. Fast imaging modalities, such as wide-field fluorescence microscopy, enable large-scale data acquisition but suffer from reduced contrast and resolution, whereas high-resolution techniques, including confocal microscopy or single-molecule localization microscopy-based super-resolution techniques, provide superior image quality at the cost of throughput and instrument time.