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

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 …

Imaging through scattering media is one of the hotspots in the optical field, and impressive
results have been demonstrated via deep learning (DL). However, most of the DL …

Super-resolution structured illumination microscopy (SR-SIM) provides an up to twofold
enhanced spatial resolution of fluorescently labeled samples. The reconstruction of high …

Observing subcellular structural dynamics in living cells has become the goal of super-
resolution (SR) fluorescence microscopy. Among typical SRM techniques, structured …

Structured illumination microscopy (SIM) is a popular super-resolution imaging technique
that can achieve resolution improvements of 2× and greater depending on the illumination …

Structured illumination microscopy (SIM) has emerged as an essential technique for three-
dimensional (3D) and live-cell super-resolution imaging. However, to date, there has not …

Structured illumination microscopy (SIM) is one of the most significant widefield super-
resolution optical imaging techniques. The conventional SIM utilizes a sinusoidal structured …

We report a deep learning-based structured illumination microscopy (SIM) method, which
can reconstruct a super-resolution (SR) image using only one frame structured illumination …

Structured illumination microscopy (SIM) has been widely applied to investigate intricate
biological dynamics due to its outstanding super-resolution imaging speed. Incorporating …