Imaging flow cytometry combines the high-event-rate nature of flow cytometry with the
advantages of single-cell image acquisition associated with microscopy. The measurement …

This paper presents an updated and comprehensive review on the different methods used
for detection and quantification of viruses in wastewater treatment systems. The analysis of …

The clinical relevance of the host immune system in breast cancer has long been
unexplored. Studies developed over the past decade have highlighted the biological …

Nanotechnology has emerged strongly in most of the field of sciences at a tiny scale. At this
size, atoms and molecules work differently and present a diversity of amazing and appealing …

The traditional analytical biosensor instruments are relatively bulky, expensive, and not easy
to handle, thus their applications are largely limited in resource-limited settings. The recent …

The handling of single cells is of great importance in applications such as cell line
development or single-cell analysis, eg, for cancer research or for emerging diagnostic …

Artificial intelligence (AI) is a rapidly evolving field of computer science that involves the
development of computational programs that can mimic human intelligence. In particular …

We show that deep convolutional neural networks combined with nonlinear dimension
reduction enable reconstructing biological processes based on raw image data. We …

Nanoparticles have received enormous attention as a promising tool to enhance target-
specific drug delivery and diagnosis. Various in vitro and in vivo techniques are used to …

Imaging flow cytometry combines the high-throughput capabilities of conventional flow
cytometry with single-cell imaging. Here we demonstrate label-free prediction of DNA …