An AI-powered toolkit automatically extracts and quantifies microstructural features from microscopy images, accelerating ...

(Nanowerk News) Researchers have developed a groundbreaking platform that empowers life scientists to harness cutting-edge, deep learning techniques for biomedical research. The platform is called ...

A research team from The Hong Kong University of Science and Technology (HKUST) has developed GrainBot, an AI-enabled toolkit that automatically extracts and quantifies multiple microstructural ...

A team of researchers from the Instituto Gulbenkian de Ciência (IGC) in Portugal, together with Åbo Akademi University in Finland, the AI4Life consortium, and other collaborators, have developed an ...

A team of researchers from the Instituto Gulbenkian de Ciência (IGC) in Portugal, together with Åbo Akademi University in Finland, the AI4Life consortium, and other collaborators, have developed an ...

Fourier transform infrared (FTIR) micro-spectroscopy merges infrared (IR) spectroscopy with visualization. As IR spectroscopy offers high specificity for molecular structure and chemical composition, ...

Dynamic Image Analysis directly addresses micro-flow imaging’s inherent scalability and workflow limitations. Both ...

The science of microscopy, especially how microscopic observations are made and data are collected and displayed, has come a long way since the days of Carl Zeiss. The last decade has seen a ...

Frank Mücklich, Professor of Functional Materials at Saarland University, explained that years of research were required to train the AI system so that it could not only recognize different patterns ...

An example of a cell image before and after segmentation, a process which allows researchers to distinguish single cells from each other and their background. Manually finding and labeling the ...