To address fidelity loss in deep-tissue imaging, Prof. Peng Xi’s team at Peking University developed Confocal² Spinning-Disk ...

New method using Raman spectroscopy and machine learning estimates organic maturity in rocks, crucial for oil exploration, ...

Anomaly detection for orbiting satellites has become a paramount research focus in the aerospace domain. Data-driven methodologies, employing high-dimensional telemetry data, have exhibited ...

In the field of computer science and engineering, hardware acceleration and encryption are key technologies for improving computing power and ensuring information security. FPGAs can be used to ...

RSM combines innovative optical components for super-resolution microscopy, enhancing imaging capabilities and supporting ...

Molecular diversity is one of the most pursued objectives in drug discovery, and diversity-oriented synthesis (DOS) perfectly responds to the achievement of this goal. In this paper, we describe a DOS ...

This application note demonstrates how an ammonium bicarbonate-based approach eliminates bottlenecks while maintaining ...

Computer code is provided to track the size and shape of deformable pigment cells in the skin of cephalopods from high-resolution video images.

School of Physiology, Pharmacology and Neuroscience, University of Bristol, Bristol, United Kingdom ...

Researchers have developed a powerful new tool that makes it easier to study the mix of cell types in human tissue, which is crucial for understanding diseases such as cancer.