Imaging large cleared tissues requires scaling the throughput of imaging techniques. Light sheet microscopy is a promising technique for high-throughput imaging; however, its reliance on conventional ...

Researchers designed a computational framework that consists of a compact metalens-integrated microscope and a transformer-based neural network, which enables large FOV and subpixel resolution imaging ...

X-ray imaging with a large field of view (FOV) and high resolution is extremely important for Rayleigh–Taylor instability measurement with a small amplitude and high spatial frequency in laser ...

A new "self-driving" microscope developed by UT Southwestern Medical Center researchers solves two fundamental challenges that have long plagued microscopy: first, imaging living cells or organisms at ...

a, An axi-symmetric binary phase filter (BPF) and image reconstruction network are jointly learned through the physics-informed neural network. The learned BPF is fabricated and inserted in a pupil ...

Researchers have developed a new type of microscope that can acquire extremely large, high-resolution pictures of non-flat objects in a single snapshot. This innovation could speed up research and ...

Confocal microscopy is a specialized fluorescence imaging technique that scientists use to acquire images at greater resolution than conventional microscopy. 1 In addition to scanning the lateral x ...

Deep inside a small, windowless room at the University of California, Berkeley, two microscopes are quietly capturing some of ...