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 ...

Optical microscopes are indispensable research tools in fields such as life sciences, medical science, and materials science. The objective lens is the core component of the microscope, determining ...

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 ...

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 ...