Single-molecule localization microscopy (SMLM) describes a family of powerful imaging
techniques that dramatically improve spatial resolution over standard, diffraction-limited …

Super-resolution microscopy has overcome a long-held resolution barrier—the diffraction
limit—in light microscopy and enabled visualization of previously invisible molecular details …

We present deep-learning-enabled super-resolution across different fluorescence
microscopy modalities. This data-driven approach does not require numerical modeling of …

Deep learning is becoming an increasingly important tool for image reconstruction in
fluorescence microscopy. We review state-of-the-art applications such as image restoration …

We present an ultrafast, precise, parameter-free method, which we term Deep-STORM, for
obtaining super-resolution images from stochastically blinking emitters, such as fluorescent …

Super-resolution techniques have begun to transform biological and biomedical research by
allowing researchers to observe structures well below the classic diffraction limit of light …

The speed of super-resolution microscopy methods based on single-molecule localization,
for example, PALM and STORM, is limited by the need to record many thousands of frames …

With the widespread uptake of two-dimensional (2D) and three-dimensional (3D) single-
molecule localization microscopy (SMLM), a large set of different data analysis packages …

Despite significant progress, high-speed live-cell super-resolution studies remain limited to
specialized optical setups, generally requiring intense phototoxic illumination. Here, we …

Single-molecule super-resolution fluorescence microscopy and single-particle tracking are
two imaging modalities that illuminate the properties of cells and materials on spatial scales …