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 …

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 …

Herein, we introduce wearable potentiometric biosensors on screen-printed carbon
electrodes (SPCEs) for on-body and on-site monitoring of urea in sweat. The biosensor …

The ability to study bacteria at the single cell level has advanced our insights into microbial
physiology and genetics in ways not attainable by studying large populations using more …

Microfluidic-based organs-on-chips (OoCs) are a rapidly developing technology in
biomedical and chemical research and have emerged as one of the most advanced and …

Intelligent microfluidics is an emerging cross-discipline research area formed by combining
microfluidics with machine learning. It uses the advantages of microfluidics, such as high …

Microwave resonator sensors are attractive for their contactless and label-free capability of
monitoring bacterial growth in liquid media. This paper outlines a new label-free microwave …

Antimicrobial susceptibility testing (AST) is a key measure in clinical microbiology
laboratories to enable appropriate antimicrobial administration. During an AST, the …

Microfluidics is a rapidly growing discipline that involves studying and manipulating fluids at
reduced length scale and volume, typically on the scale of micro-or nanoliters. Under the …

Deep learning (DL) is a subfield of machine learning (ML), which has recently demonstrated
its potency to significantly improve the quantification and classification workflows in …