Peng Xi

Abstract By implementing the super-resolution principles of image scanning microscopy in coherent imaging, Küppers et al. introduced interferometric image scanning microscopy, achieving 120 nm label-free lateral resolution with minimal phototoxicity and offering a robust tool for long-term observation of intracellular dynamics. A fundamental challenge in microscopy remains the inherent trade-off between high spatiotemporal resolution, signal-to-noise ratio (SNR), and biocompatibility1.

Abstract Deep learning has demonstrated remarkable success in augmenting fluorescence imaging under photon-limited conditions. However, existing restoration networks are typically devised for training with augmented patches far smaller than the full-view raw data, an overlooked aspect that compromises fidelity and noise-resistance due to the loss of global statistics.

Abstract Super-resolution microscopy has pushed the limits of biological imaging. However, achieving isotropic resolution across all spatial dimensions remains a challenge and often requires a complex and highly sensitive optical setup.