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 …

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 …

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

Conventional imaging systems can only capture light intensity. Meanwhile, the lost phase
information may be critical for a variety of applications such as label-free microscopy and …

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 …

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 …

Label-free optical imaging employs natural and non-destructive approaches to visualize
biomedical samples for both biological assays and clinical diagnosis. At present, this field …

This Roadmap article on digital holography provides an overview of a vast array of research
activities in the field of digital holography. The paper consists of a series of 25 sections from …

The role and importance of mechanical properties of cells and tissues in cellular function,
development and disease has widely been acknowledged, however standard techniques …

Quantitative phase imaging (QPI) of transparent samples plays an essential role in multiple
biomedical applications, and miniaturizing these systems will enable their adoption into …