Quantitative phase imaging (QPI) is a label-free, wide-field microscopy approach with
significant opportunities for biomedical applications. QPI uses the natural phase shift of light …

The competition between resolution and the imaging field of view is a long-standing problem
in traditional imaging systems—they can produce either an image of a small area with fine …

We present a new label-free three-dimensional (3D) microscopy technique, termed transport
of intensity diffraction tomography with non-interferometric synthetic aperture (TIDT-NSA) …

Recent work in machine learning shows that deep neural networks can be used to solve a
wide variety of inverse problems arising in computational imaging. We explore the central …

When it comes to “phase measurement” or “quantitative phase imaging”, many people will
automatically connect them with “laser” and “interferometry”. Indeed, conventional …

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 …

Gallium nitride (GaN) light-emitting-diode (LED) technology has been the revolution in
modern lighting. In the last decade, a huge global market of efficient, long-lasting, and …

Our ability to detect, image, and quantify nanoscopic objects and molecules with visible light
has undergone dramatic improvements over the past few decades. While fluorescence has …

We study the problem of recovering the phase from magnitude measurements; specifically,
we wish to reconstruct a complex-valued signal about which we have phaseless samples of …

Quantitative phase imaging (QPI) is a label‐free computational imaging technique that
provides optical path length information of specimens. In modern implementations, the …