In recent years, industrial control systems have evolved toward stability and efficiency, increasing industrial control systems interconnected with the Internet, which means that industrial control ...

Breast cancer early detection is crucial for improving patient outcomes. The Institut Catala de la Salut (ICS) has launched‘ the DigiPatICS project to develop and implement artificial intelligence ...

Using machine learning, OmicsTweezer merges diverse data by using deep learning combined with optimal transport.

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

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

Background Steatotic liver disease-related hepatocellular carcinoma (SLD-HCC), a rising global challenge, is characterised by ...

Researchers have developed a powerful new tool that makes it easier to study the mix of cell types in human tissue, which is ...

This study overcomes the challenge of imaging low-copy-number proteins in live cells by combining Halo-SiR labeling with sparse deconvolution structured illumination microscopy (Sparse-SIM). Targeting ...

Characterization of intracellular synapse heterogeneity aides to understand the intricate computational logic of neuronal circuits. Despite recent advances in connectomics, the spatial patterns of ...

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