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

Since their inception in the 1930–1960s, the research disciplines of computational imaging
and machine learning have followed parallel tracks and, during the last two decades …

Fluorescence microscopy with optical sectioning capabilities is extensively utilized in
biological research to obtain three-dimensional structural images of volumetric samples …

Computational imaging through scatter generally is accomplished by first characterizing the
scattering medium so that its forward operator is obtained and then imposing additional …

The microscopic visualization of large-scale three-dimensional (3D) samples by optical
microscopy requires overcoming challenges in imaging quality and speed and in big data …

Large-scale imaging of biological dynamics with high spatiotemporal resolution is
indispensable to system biology studies. However, conventional microscopes have an …

A key requirement for performing three-dimensional (3D) imaging using optical microscopes
is that they be capable of optical sectioning by distinguishing in-focus signal from out-of …

Optical microscopy is widely used to visualize fine structures. When applied to bioimaging,
its performance is often degraded by sample-induced aberrations. In recent years, adaptive …

Two-photon excitation with temporally focused pulses can be combined with phase-
modulation approaches, such as computer-generated holography and generalized phase …

The quality of inverse problem solutions obtained through deep learning is limited by the
nature of the priors learned from examples presented during the training phase. Particularly …