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 …

In recent years, the integration of deep learning techniques with biophotonic setups has
opened new horizons in bioimaging. A compelling trend in this field involves deliberately …

As a label‐free imaging technique, quantitative phase imaging (QPI) provides optical path
length information of transparent specimens for various applications in biology, materials …

Existing applications of deep learning in computational imaging and microscopy mostly
depend on supervised learning, requiring large-scale, diverse and labelled training data …

Digital in-line holographic microscopy (DIHM) enables efficient and cost-effective
computational quantitative phase imaging with a large field of view, making it valuable for …

Quantitative phase imaging (QPI) is a label-free technique that provides optical path length
information for transparent specimens, finding utility in biology, materials science, and …

Fluorescence lifetime imaging microscopy (FLIM) is a powerful imaging technique that
enables the visualization of biological samples at the molecular level by measuring the …

Phase recovery, calculating the phase of a light wave from its intensity measurements, is
essential for various applications, such as coherent diffraction imaging, adaptive optics, and …

Lensless in-line holography is widely used to obtain depth information on pathological
tissues and biological cells to enable noninvasive analysis, due to low cost and large field-of …

Subject of study. An overview of modern neural-network-based methods for digital and
computer-generated holography is presented. Relevant works on phase and amplitude …