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 …

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 …

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 …

The goal of an IVF cycle is a healthy live-born baby. Despite the many advances in the field
of assisted reproductive technologies, accurately predicting the outcome of an IVF cycle has …

Advances in high-throughput and multiplexed microfluidics have rewarded biotechnology
researchers with vast amounts of data but not necessarily the ability to analyze complex data …

Recent advances in quantitative phase imaging (QPI) and artificial intelligence (AI) have
opened up the possibility of an exciting frontier. The fast and label-free nature of QPI …

Artificial intelligence (AI) has experienced rapid growth over the past few years, moving from
the experimental to the implementation phase in various fields, including medicine …

Microplastics (MPs) are a major environmental concern due to their possible impact on
water pollution, wildlife, and the food chain. Reliable, rapid, and high‐throughput screening …

In this paper, we review the integration of microfluidic chips and computer vision, which has
great potential to advance research in the life sciences and biology, particularly in the …

We propose a new deep learning approach for medical imaging that copes with the problem
of a small training set, the main bottleneck of deep learning, and apply it for classification of …