Malaria remains a major burden on global health, with roughly 200 million cases worldwide
and more than 400,000 deaths per year. Besides biomedical research and political efforts …

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 …

Using a deep neural network, we demonstrate a digital staining technique, which we term
PhaseStain, to transform the quantitative phase images (QPI) of label-free tissue sections …

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 …

Circulating tumor cells (CTCs) are rare tumor cells released from primary, metastatic, or
recurrent tumors in the peripheral blood of cancer patients. CTCs isolation from peripheral …

In the last decades, the understanding of the complex biological mechanisms that regulate
the life and growth of single cells and their reciprocal interaction has steadily increased. In …

Establishing early warning systems for anthrax attacks is crucial in biodefense. Despite
numerous studies for decades, the limited sensitivity of conventional biochemical methods …

Malaria refers to a contagious mosquito-borne disease caused by parasite genus
plasmodium transmitted by mosquito female Anopheles. As infected mosquito bites a …

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 …

Multiple scattering and absorption limit the depth at which biological tissues can be imaged
with light. In thick unlabeled specimens, multiple scattering randomizes the phase of the field …