Artificial intelligence (AI) is poised to broadly reshape medicine, potentially improving the
experiences of both clinicians and patients. We discuss key findings from a 2-year weekly …

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

Deep Learning (DL) methods are powerful analytical tools for microscopy and can
outperform conventional image processing pipelines. Despite the enthusiasm and …

Deep neural networks have enabled astonishing transformations from low-resolution (LR) to
super-resolved images. However, whether, and under what imaging conditions, such deep …

Mitochondria are inextricably linked to the development of diseases and cell metabolism
disorders. Super-resolution imaging (SRI) is crucial in enhancing our understanding of …

Advanced microscopy enables us to acquire quantities of time-lapse images to visualize the
dynamic characteristics of tissues, cells or molecules. Microscopy images typically vary in …

Live imaging is a powerful tool, enabling scientists to observe living organisms in real time.
In particular, when combined with fluorescence microscopy, live imaging allows the …

We demonstrate residual channel attention networks (RCAN) for the restoration and
enhancement of volumetric time-lapse (four-dimensional) fluorescence microscopy data …

The axial resolution of three-dimensional structured illumination microscopy (3D SIM) is
limited to∼ 300 nm. Here we present two distinct, complementary methods to improve axial …

Structured illumination microscopy (SIM) doubles the spatial resolution of a fluorescence
microscope without requiring high laser powers or specialized fluorophores. However, the …