Artificial intelligence (AI) is being increasingly integrated into scientific discovery to augment
and accelerate research, hel** scientists to generate hypotheses, design experiments …

Structured illumination microscopy (SIM) has become the standard for next-generation wide-
field microscopy, offering ultrahigh imaging speed, superresolution, a large field-of-view …

The goal when imaging bioprocesses with optical microscopy is to acquire the most
spatiotemporal information with the least invasiveness. Deep neural networks have …

The digital transformation in healthcare, propelled by the integration of deep learning
models and the Internet of Things (IoT), is creating unprecedented opportunities for …

Fluorescence microscopy-based image restoration has received widespread attention in the
life sciences and has led to significant progress, benefiting from deep learning technology …

Single-molecule localization microscopy (SMLM) can be used to resolve subcellular
structures and achieve a tenfold improvement in spatial resolution compared to that …

The proliferation of microscopy methods for live-cell imaging offers many new possibilities
for users but can also be challenging to navigate. The prevailing challenge in live-cell …

Label‐free super‐resolution (LFSR) imaging relies on light‐scattering processes in
nanoscale objects without a need for fluorescent (FL) staining required in super‐resolved FL …

A superresolution imaging approach that localizes very small targets, such as red blood
cells or droplets of injected photoacoustic dye, has significantly improved spatial resolution …

Abstract High-speed three-dimensional (3D) intravital imaging in animals is useful for
studying transient subcellular interactions and functions in health and disease. Light-field …