Quantitative phase imaging, integrated with artificial intelligence, allows for the rapid and
label-free investigation of the physiology and pathology of biological systems. This review …

Phase recovery (PR) refers to calculating the phase of the light field from its intensity
measurements. As exemplified from quantitative phase imaging and coherent diffraction …

Simultaneous imaging of various facets of intact biological systems across multiple
spatiotemporal scales is a long-standing goal in biology and medicine, for which progress is …

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 …

Existing approaches to evaluate cell viability involve cell staining with chemical reagents.
However, the step of exogenous staining makes these methods undesirable for rapid …

Artificial intelligence (AI) in medicine has gained a lot of momentum in the last decades and
has been applied to various fields of medicine. Advances in computer science, medical …

In this paper, we review spatial light interference microscopy (SLIM), a common-path, phase-
shifting interferometer, built onto a phase-contrast microscope, with white-light illumination …

We propose a deep learning method based on the Region Based Convolutional Neural
Networks (R-CNN) architecture for the evaluation of sperm head motility in human semen …

This article reviews deep learning applications in biomedical optics with a particular
emphasis on image formation. The review is organized by imaging domains within …

Lay summary The success of IVF has remained stagnant for a decade. The focus of a great
deal of research is to improve on the current~ 30% success rate of IVF. Artificial intelligence …